Аннотацияланған Корпус

In Data Oriented Parsing (DOP), an annotated corpus is used as a stochastic grammar. An input string is parsed by combining subtrees from the corpus. As a consequence, one parse …...

We present an approach to anaphora resolution based on a focusing algorithm, and implemented within an existing MUC (Message Understand- ing Conference) Information Extraction system, allowing quantitative evaluation against a …...

We apply machine learning techniques to classify automatically a set of verbs into lexical semantic classes, based on distributional approximations of diathe- ses, extracted from a very large anno- tated …...

In this paper, we present a learning approach for coreference resolution of noun phrases in unrestricted text. The approach learns from a small, annotated corpus and the task in- cludes …...

We compare the potential of two classes of finear and hierarchical models of discourse to determine co-reference links and resolve anaphors. The com- parison uses a corpus of thirty texts, …...

In this paper, a hybrid disambiguation method for the prepositional phrase (PP) attachment and interpretation problem is presented. 1 The data needed, semantic PP interpretation rules and an annotated corpus, …...

This paper investigates the use of a language inde- pendent model for named entity recognition based on iterative learning in a co-training fashion, using word-internal and contextual information as inde- …...

This paper presents a formalization of automatic grammar acquisition that is based on lexicalized grammar for- malisms (e.g. LTAG and HPSG). We state the conditions for the consistent ac- quisition …...

We investigated of the characteristics of in-text causal relations. We designed causal relation tags. With our designed tag set, three annotators annotated 750 Japanese newspaper articles. Then, using the annotated …...

In this paper we introduce an empirical approach to the semantic interpretation of superlative adjectives. We present a cor- pus annotated for superlatives and pro- pose an interpretation algorithm that …...

We examine standard deep lexical acqui- sition features in automatically predict- ing the gender of noun types and to- kens by bootstrapping from a small an- notated corpus. Using a …...

In this paper we address the issue of au- tomatically assigning information status to discourse entities. Using an annotated cor- pus of conversational English and exploit- ing morpho-syntactic and lexical …...

. Word segmentation for Vietnamese, like for most Asian languages, is an important task which has a significant impact on higher language processing levels. However, it has received little attention …...

In this paper we present an active learn- ing approach used to create an annotated corpus of literal and nonliteral usages of verbs. The model uses nearly unsu- pervised word-sense …...

AbstractWe describe ongoing work in semi-automatic annotating corpus, with the goal to answer why-question in question answering system and give a construction of the coherent tree for text summarization. In …...

Parsers are often the bottleneck for data ac- quisition, processing text too slowly to be widely applied. One way to improve the efficiency of parsers is to construct more confident …...

The work presented in this paper explores a supervised method for learning a prob- abilistic model of a lexicon of VerbNet classes. We intend for the probabilis- tic model to …...

AbstractThis paper presents and analyzes an annotated corpus of definitions, created to train an algorithm for the automatic extraction of definitions and hypernyms from web documents. As an additional resource, …...

AbstractThis paper discusses our ongoing work on constructing an annotated corpus of children’s stories for further studies on the linguistic, computational, and cognitive aspects of story structure and understanding. Given …...

In this paper, we consider the problem of gen- erating candidate corrections for the task of correcting errors in text. We focus on the task of correcting errors in preposition …...

In many applications, replacing a complex word form by its stem can reduce sparsity, re- vealing connections in the data that would not otherwise be apparent. In this paper, we …...

AbstractThe explosion of biomedical literature and with it the -uncontrolled- creation of abbreviations presents some special challenges for both human readers and computer applications. We developed an annotated corpus of …...

The paper presents the results of an ana- lysis of the merits and problems of us- ing suffix arrays as an index data struc- ture for annotated natural-language cor- pora. …...

Named entity recognition (NER) has been extensively studied for the names of genes and gene products but there are few proposed solutions for phenotypes. Phenotype terms are expected to play …...

AbstractThis paper presents an approach to construction of an annotated corpus for German political news for the opinion mining task. The annotated corpus has been applied to learn relation extraction …...

AbstractNatural languages possess a wealth of indefinite forms that typically differ in distribution and interpretation. Although formal semanticists have strived to develop precise meaning representations for different indefinite functions, to …...

Together with the ever-growing amount of Chinese web data, the number of opinions voiced by Chinese users is rapidly increasing, and analyzing them is an important task. This paper intro- …...

AbstractWe present a novel tool for morphological analysis of Serbian, which is a low-resource language with rich morphology. Our tool produces lemmatisation and morphological analysis reaching accuracy that is considerably …...

AbstractThe Arabic language is a collection of dialectal variants along with the standard form, Modern Standard Arabic (MSA). MSA is used in official Settings while the dialectal variants (DA) correspond …...

Citations are a valuable resource for characterizing scientific publications that has already been used in applications such as summarization and information retrieval. These applications could be even better served by …...

The occurrence of syntactic phenomena such as coordination and subordination is characteristic of long, complex sentences. Text simplification systems need to detect and categorise constituents in order to generate simpler …...

Direct quotations are used for opinion min- ing and information extraction as they have an easy to extract span and they can be attributed to a speaker with high accuracy. …...

This study focuses on modeling discourse co- herence in the context of automated assess- ment of spontaneous speech from non-native speakers. Discourse coherence has always been used as a key …...

Joint compression and summarization has been used recently to generate high quality summaries. However, such word-based joint optimization is computationally expensive. In this paper we adopt the ‘sentence compression + …...

The distributional hypothesis, which states that words that occur in similar contexts tend to have similar meanings, has inspired sev- eral Web mining algorithms for paraphras- ing semantically equivalent phrases. …...

Recently, researchers have begun explor- ing methods of scoring student essays with respect to particular dimensions of qual- ity such as coherence, technical errors, and relevance to prompt, but there …...

. In event-based Information Extraction systems, a major task is the filling from a text of a template gathering information related to a particular event. Such template filling may be …...

Microblogs have recently received widespread interest from NLP re- searchers. However, current tools for Japanese word segmentation and POS tagging still perform poorly on microblog texts. We developed an annotated …...

AbstractThe huge amount of the available information in the Web creates the need for effective information extraction systems that are able to produce metadata that satisfy user’s information needs. The …...

Currently most of state-of-the-art methods for Chinese word segmentation (CWS) are based on supervised learning, which depend on large scale annotated corpus. However, these supervised methods do not work well …...

. This work is motivated by the will of creating a new part-of-speech annotated corpus in French from an existing one. We propose a general and operational definition of the …...

AbstractCoreference resolution (CR) is a current problem in natural language processing (NLP) research and it is a key task in applications such as question answering, text summarization and information extraction …...

AbstractThe ever-growing number of published scientific papers prompts the need for automatic knowledge extraction to help scientists keep up with the state-of-the-art in their respective fields. To construct a good …...

AbstractAt CEA LIST, we have decided to release our multilingual analyzer LIMA as Free software. As we were not proprietary of all the language resources used we had to select …...

We propose a transition-based model for joint word segmentation, POS tagging and text normalization. Different from pre- vious methods, the model can be trained on standard text corpora, overcoming the …...

In this paper we present a method of detecting zero pronouns in Japanese clauses and identifying their antecedents using aligned sentence pairs from a Japanese-English bilingual corpus and open resource …...

Summarizing opinions expressed in online forums can potentially benefit many peo- ple. However, special characteristics of this problem may require changes to stan- dard text summarization techniques. In this work, …...

Due to the commonality in natural language, negation focus plays a critical role in deep understanding of context. However, existing studies for negation focus identification ma- jor on supervised learning …...

AbstractScientific literature records the research process with a standardized structure and provides the clues to track the progress in a scientific field. Understanding its internal structure and content is of …...

AbstractOne of the main obstacles, hampering method development and comparative evaluation of named entity recognition in social media, is the lack of a sizeable, diverse, high quality annotated corpus, analogous …...

AbstractThe growth of social networking platforms has drawn a lot of attentions to the need for social computing. Social computing utilises human insights for computational tasks as well as design …...

AbstractWe present a proposal for the annotation of factuality of event mentions in Spanish texts and a free available annotated corpus. Our factuality model aims to capture a pragmatic notion …...

This paper presents a crowdsourcing approach for annotating causal relation instances to Wikipedia. Because an annotation task can- not be decomposed into multiple-choice prob- lems, we integrate a crowdsourcing service …...

AbstractIn the wake of a polarizing election, the cyber world is laden with hate speech. Context accompanying a hate speech text is useful for identifying hate speech, which however has …...

AbstractIn this paper, we propose a new task for assessing the quality of natural language arguments. The premises of a well-reasoned argument should provide enough evidence for accepting or rejecting …...

A significant concern in processing natural language data is the often unclear legal status of the input and output data/resources. In this paper, we investigate this problem by discussing a …...

Multi-sentence compression aims to generate a short and informative compression from several source sentences that deal with the same topic. In this work, we present a new corpus for the …...

In this paper, we present a new corpus that contains 943 homepages of scientific conferences, 14794 including subpages, with annotations of interesting information: name of a conference, its abbreviation, place, …...

AbstractStudies in Social Sciences have revealed that when people evaluate someone else, their evaluations often reflect their biases. As a result, rater bias may introduce highly subjective factors that make …...

The paper introduces a multi-level annotation of the R. GVEDA, a fundamental Sanskrit text composed in the 2. millenium BCE that is important for South-Asian and Indo-European linguistics, as well …...

Detecting novelty of an entire document is an Artificial Intelligence (AI) frontier problem. This has immense importance in widespread Natural Language Processing (NLP) applications ranging from extractive text document summarization …...

In this paper, we describe the Circumstantial Event Ontology (CEO), a newly developed ontology for calamity events that models semantic circumstantial relations between event classes, where we define circumstantial as …...

AbstractState-of-the-art Natural Language Processing algorithms rely heavily on efficient word segmentation. Urdu is amongst languages for which word segmentation is a complex task as it exhibits space omission as well …...

AbstractWhile the vast majority of existing work on automated essay scoring has focused on holistic scoring, researchers have recently begun work on scoring specific dimensions of essay quality. Nevertheless, progress …...

AbstractWe study pragmatics in political campaign text, through analysis of speech acts and the target of each utterance. We propose a new annotation schema incorporating domain-specific speech acts, such as …...

AbstractRecurrent neural network grammars (RNNG) are generative models of language which jointly model syntax and surface structure by incrementally generating a syntax tree and sentence in a top-down, left-to-right order. …...

AbstractA contract is a legal document executed by two or more parties. It is important for these parties to precisely understand their rights and obligations that are described in the …...

AbstractIn this paper we present an annotated corpus which can be used for training and testing algorithms to automatically extract information about diseases outbreaks from news and health reports. We …...

AbstractPeople can extract precise, complex logical meanings from text in documents such as tax forms and game rules, but language processing systems lack adequate training and evaluation resources to do …...

AbstractIn financial services industry, compliance involves a series of practices and controls in order to meet key regulatory standards which aim to reduce financial risk and crime, e.g. money laundering …...

AbstractGiven the lack of an annotated corpus of non-traditional Odia literature which serves as the standard when it comes sentiment analysis, we have created an annotated corpus of Odia sentences …...

AbstractIn this paper, we present a methodology for decomposing and comparing multiple meaning relations (paraphrasing, textual entailment, contradiction, and specificity). The methodology includes SHARel - a new typology that consists …...

AbstractMedical incident reports (MIRs) are documents that record what happened in a medical incident. A typical MIR consists of two sections: a structured categorical part and an unstructured text part. …...

AbstractWe present an annotated corpus of English cooking recipe procedures, and describe and evaluate computational methods for learning these annotations. The corpus consists of 300 recipes written by members of …...

AbstractWe present a neural network approach to estimate the communication style of spoken interaction, namely the stylistic variations elaborateness and directness, and investigate which type of input features to the …...

AbstractOne-anaphora has figured prominently in theoretical linguistic literature, but computational linguistics research on the phenomenon is sparse. Not only that, the long standing linguistic controversy between the determinative and the …...

AbstractDramatic texts are a highly structured literary text type. Their quantitative analysis so far has relied on analysing structural properties (e.g., in the form of networks). Resolving coreferences is crucial …...

AbstractWe describe a novel super-infrastructure for biomedical text mining which incorporates an end-to-end pipeline for the collection, annotation, storage, retrieval and analysis of biomedical and life sciences literature, combining NLP …...

AbstractThe notion of face refers to the public self-image of an individual that emerges both from the individual’s own actions as well as from the interaction with others. Modeling face …...

AbstractThis paper describes a new morphology resource created by Linguistic Data Consortium and the University of Pennsylvania for the DARPA LORELEI Program. The data consists of approximately 2000 tokens annotated …...

AbstractMandarin Alphabetical Word (MAW) is one indispensable component of Modern Chinese that demonstrates unique code-mixing idiosyncrasies influenced by language exchanges. Yet, this interesting phenomenon has not been properly addressed and …...

AbstractThis paper introduces the novel task of scene segmentation on narrative texts and provides an annotated corpus, a discussion of the linguistic and narrative properties of the task and baseline …...

Recent years have seen a rise in interest for cross-lingual transfer between languages with similar typology, and between languages of various scripts. However, the interplay be- tween language similarity and …...

AbstractIn this paper, we challenge the assumption that political ideology is inherently built into text by presenting an investigation into the impact of experiential factors on annotator perceptions of political …...

This paper investigates the use of first per- son plural pronouns as a rhetorical device in political speeches. We present an anno- tation schema for disambiguating pronoun references and use …...

AbstractIn this paper we present the initial construction of a Universal Dependencies treebank with morphological annotations of Ancient Hebrew containing portions of the Hebrew Scriptures (1579 sentences, 27K tokens) for …...

A vehicle recall system is a process of recall- ing and repairing vehicles with defective de- signs or potential for accidents and failures. The recall document concisely explains the circumstances …...

AbstractThis paper describes a comprehensive annotation study on Japanese judgment documents in civil cases. We aim to build an annotated corpus designed for Legal Judgment Prediction (LJP), especially for torts. …...

AbstractNominal metaphors are frequently used in human language and have been shown to be effective in persuading, expressing emotion, and stimulating interest. This paper tackles the problem of Chinese Nominal …...

AbstractThis work presents a new resource for borrowing identification and analyzes the performance and errors of several models on this task. We introduce a new annotated corpus of Spanish newswire …...

AbstractWe present a manually annotated corpus of 10,000 tweets containing public reports of five COVID-19 events, including positive and negative tests, deaths, denied access to testing, claimed cures and preventions. …...

AbstractThis paper is devoted to the extraction of entities and semantic relations between them from scientific texts, where we consider scientific terms as entities. In this paper, we present a …...