Syntactic Parsing

The desirability of a syntactic parsing com- ponent in natural language understanding systems has been the subject of debate for the past several years. This paper describes an approach to …...

The SCISOR. system is a computer program designed to scan naturally occurring texts in constrained do- mains, extract information, and answer questions about that information. The system currently reads newspapers …...

We describe an implemented system for robust domain-independent syntactic parsing of English, using a unification-based grammar of part-of- speech and punctuation labels coupled with a probabilistic LR parser. We present …...

We present a connectionist architecture and demon- strate that it can learn syntactic parsing from a cor- pus of parsed text. The architecture can represent syntactic constituents, and can learn …...

We present a connectionist architecture and demon- strate that it can learn syntactic parsing from a cor- pus of parsed text. The architecture can represent syntactic constituents, and can learn …...

This paper describes a first attempt at a sta- tistical model for simultaneous syntactic pars- ing and generalized word-sense disambigna- tion. On a new data set we have constructed for …...

As the amount of on-line scientific litera- ture in the biomedical domain increases, automatic processing has become a prom- ising approach for accelerating research. We are applying syntactic parsing trained …...

We investigate the impact of the precision/recall trade-off of information extraction on the per- formance of an offline corpus-based question answering (QA) system. One of our findings is that, because …...

In this paper we address the question of assigning semantic roles to sentences in Chinese. We show that good semantic parsing results for Chinese can be achieved with a small …...

Pictorial communication systems convert natural language text into pictures to as- sist people with limited literacy. We define a novel and challenging problem: picture layout optimization. Given an input sen- …...

This article presents empirical evaluations of aspects of annotation for the linguis- tic property of animacy in Swedish, rang- ing from manual human annotation, auto- matic classification and, finally, an …...

. Identifying collocations in a text (e.g., break record) and correctly translating them (battre record vs. *casser record) represent key issues in machine translation, notably because of their prevalence in …...

In this paper, we introduce our Recognizing Textual Entailment (RTE) system developed on the basis of Lexical Entailment between two text excerpts, namely the hypothesis and the text. To extract …...

The core-adjunct argument distinction is a basic one in the theory of argument struc- ture. The task of distinguishing between the two has strong relations to various ba- sic NLP …...

AbstractMost question-answering systems contain a classifier module which determines a question category, based on which each question is assigned an answer type. However, setting up syntactic patterns for this classification …...

This paper explores joint syntactic and seman- tic parsing of Chinese to further improve the performance of both syntactic and semantic parsing, in particular the performance of se- mantic parsing …...

AbstractSystems for syntactically parsing sentences have long been recognized as a priority in Natural Language Processing. Statistics-based systems require large amounts of high quality syntactically parsed data. Using the XLE …...

While a significant amount of research has been devoted to textual entailment, automated entailment from conversational scripts has re- ceived less attention. To address this limi- tation, this paper investigates …...

A problem that crops up repeatedly in shallow and deep syntactic parsing approaches to South Asian languages like Urdu/Hindi is the proper treatment of complex predications. Problems for the NLP …...

Most previous approaches to syntactic pars- ing of Chinese rely on a preprocessing step of word segmentation, thereby assuming there was a clearly defined boundary between mor- phology and syntax …...

AbstractAnnotated word structures are useful for various Chinese NLP tasks, such as word segmentation, POS tagging and syntactic parsing. Chinese word structures are often represented by binary trees, the nodes …...

In this paper, we address the role of syntactic parsing for distributional similarity. On the one hand, we are exploring distributional similarities as an extrinsic test bed for unsupervised parsers. …...

In this shared task paper for SemEval- 2014 Task 8, we show that most se- mantic structures can be approximated by trees through a series of almost bijective graph transformations. …...

In this paper we show how the task of syntactic parsing of non-segmented texts, including com- pound recognition, can be represented as constraints between phrase-structure parsers and CRF sequence labellers. …...

Joint models of syntactic and semantic parsing have the potential to improve performance on both tasks—but to date, the best results have been achieved with pipelines. We introduce a joint …...

Model combination techniques have con- sistently shown state-of-the-art perfor- mance across multiple tasks, including syntactic parsing. However, they dramat- ically increase runtime and can be diffi- cult to employ in …...

AbstractMorphological analysis is a fundamental task in natural-language processing, which is used in other NLP applications such as part-of-speech tagging, syntactic parsing, information retrieval, machine translation, etc. In this paper, …...

AbstractIn this article, we present the RATP-DECODA Corpus which is composed by a set of 67 hours of speech from telephone conversations of a Customer Care Service (CCS). This corpus …...

We cast sentence boundary detection and syntactic parsing as a joint problem, so an entire text document forms a training instance for transition-based dependency parsing. When trained with an early …...

Syntactic parsing of web queries is impor- tant for query understanding. However, web queries usually do not observe the grammar of a written language, and no labeled syntactic trees for …...

Accurate automatic processing of Web queries is im- portant for high-quality information retrieval from the Web. While the syntactic structure of a large portion of these queries is trivial, the …...

AbstractReasoning and inference are central to human and artificial intelligence. Modeling inference in human language is very challenging. With the availability of large annotated data (Bowman et al., 2015), it …...

AbstractWe present a simple encoding for unlabeled noncrossing graphs and show how its latent counterpart helps us to represent several families of directed and undirected graphs used in syntactic and …...

AbstractSyntactic parsing plays a crucial role in improving the quality of natural language processing tasks. Although there have been several research projects on syntactic parsing in Vietnamese, the parsing quality …...

AbstractSluicing resolution is the task of identifying the antecedent to a question ellipsis. Antecedents are often sentential constituents, and previous work has therefore relied on syntactic parsing, together with complex …...

AbstractNeural machine translation requires large amount of parallel training text to learn a reasonable quality translation model. This is particularly inconvenient for language pairs for which enough parallel text is …...

In this work we focus on a particular linguistic phenomenon, ellipsis, and explore the latest parsers in order to learn about parsing accuracy and typical errors from the perspective of …...

AbstractNon-local features have been exploited by syntactic parsers for capturing dependencies between sub output structures. Such features have been a key to the success of state-of-the-art statistical parsers. With the …...

AbstractIn the literature, the research on abstract meaning representation (AMR) parsing is much restricted by the size of human-curated dataset which is critical to build an AMR parser with good …...

AbstractIn this paper we present a parsing model for projective dependency trees which takes advantage of the existence of complementary dependency annotations which is the case in Arabic, with the …...

AbstractBoth syntactic and semantic structures are key linguistic contextual clues, in which parsing the latter has been well shown beneficial from parsing the former. However, few works ever made an …...

AbstractIn this paper, we introduce the SORTS Subject-Object Resolution Test Suite of German minimal sentence pairs for model introspection. The full test suite consists of 18,502 transitive clauses with manual …...

AbstractWe introduce a generic seq2seq parsing framework that casts constituency parsing problems (syntactic and discourse parsing) into a series of conditional splitting decisions. Our parsing model estimates the conditional probability …...

AbstractUnlike English letters, Chinese characters have rich and specific meanings. Usually, the meaning of a word can be derived from its constituent characters in some way. Several previous works on …...

AbstractSocial media data such as Twitter messages (“tweets”) pose a particular challenge to NLP systems because of their short, noisy, and colloquial nature. Tasks such as Named Entity Recognition (NER) …...