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In order to take steps towards establishing a method- ology for evaluating Natural Language systems, we conducted a case study. We attempt to evaluate two different approaches to anaphoric processing …...

In this paper, we want to describe the ar- chitecture and some of the implementation issues of a large scale category guesser for Dutch medical vocabulary. We Mso provide numerical …...

Is it possible to specify a grammatical representation (descriptors and their ap- plication guidelines) to such a degree that it can be consistently applied by different grammarians e.g. for producing …...

Stochastic categorial grammars (SCGs) are introduced as a more appropriate formal- ism for statistical language learners to es- timate than stochastic context free gram- mars. As a vehicle for demonstrating …...

We consider here the problem of Base Noun Phrase translation. We propose a new method to perform the task. For a given Base NP, we first search its translation candidates …...

This paper explores the contribution of a broad range of syntactic features to WSD: grammatical relations coded as the presence of adjuncts/arguments in isolation or as subcategorization frames, and instantiated …...

We propose a multiple-document summa- rization system with user interaction. Our system extracts keywords from sets of docu- ments to be summarized and shows the key- words to a user …...

Parallel corpora are crucial for training SMT systems. However, for many lan- guage pairs they are available only in very limited quantities. For these lan- guage pairs a huge portion …...

In text categorization, term selection is an important step for the sake of both cate- gorization accuracy and computational ef- ficiency. Different dimensionalities are ex- pected under different practical resource …...

Most attempts to integrate FrameNet in NLP systems have so far failed because of its lim- ited coverage. In this paper, we investigate the applicability of distributional and WordNet- based …...

AbstractThis paper focuses on the central role played by lexical information in the task of Recognizing Textual Entailment. In particular, the usefulness of lexical knowledge extracted from several widely used …...

AbstractExpert human input can contribute in various ways to facilitate automatic annotation of natural language text. For example, a part-of-speech tagger can be trained on labeled input provided offline by …...

Unknown words are a hindrance to the perfor- mance of hand-crafted computational gram- mars of natural language. However, words with incomplete and incorrect lexical entries pose an even bigger problem …...

This paper investigates the application of an existing seed-based minimally super- vised learning algorithm to different so- cial domains exhibiting different proper- ties of the available data. A systematic analysis …...

AbstractThe FLaReNet Strategic Agenda highlights the most pressing needs for the sector of Language Resources and Technologies and presents a set of recommendations for its development and progress in Europe, …...

Automatic metaphor identification and inter- pretation in text have been traditionally con- sidered as two separate tasks in natural lan- guage processing (NLP) and addressed in- dividually within computational frameworks. …...

In this paper we propose a new approach to the generation of pseudowords, i.e., artificial words which model real polysemous words. Our approach simultaneously addresses the two important issues that …...

AbstractSyntax-based distributional models of lexical semantics provide a flexible and linguistically adequate representation of co-occurrence information. However, their construction requires large, accurately parsed corpora, which are unavailable for most languages. …...

As conventional word alignment search algorithms usually ignore the consistency constraint in translation rule extraction, improving alignment accuracy does not necessarily increase translation quality. We propose to use coverage, which …...

AbstractWikipedia has been increasingly used as a knowledge base for open-domain Named Entity Linking and Disambiguation. In this task, a dictionary with entity surface forms plays an important role in …...

AbstractNeural sequence-to-sequence models have provided a viable new approach for abstractive text summarization (meaning they are not restricted to simply selecting and rearranging passages from the original text). However, these …...

AbstractWe extend the coverage of an existing grammar customization system to clausal modifiers, also referred to as adverbial clauses. We present an analysis, taking a typologically-driven approach to account for …...

AbstractThis paper describes CCG/AMR, a novel grammar for semantic parsing of Abstract Meaning Representations. CCG/AMR equips Combinatory Categorial Grammar derivations with graph semantics by assigning each CCG combinator an interpretation …...

AbstractWe present a new summary evaluation approach that does not require human model summaries. Our approach exploits the compositional capabilities of corpus-based and lexical resource-based word embeddings to develop the …...

AbstractRecent work has attempted to enhance vector space representations using information from structured semantic resources. This process, dubbed retrofitting (Faruqui et al., 2015), has yielded improvements in word similarity performance. …...

AbstractIt has been widely admitted that morphological analysis is an important step in automated text processing for morphologically rich languages. Evenki is a language with rich morphology, therefore a morphological …...

AbstractWe describe and evaluate the Finite-State Arabic Morphologizer (FSAM) – a concatenative (prefix-stem-suffix) and templatic (root- pattern) morphologizer that generates and analyzes undiacritized Modern Standard Arabic (MSA) words, and diacritizes …...

AbstractMost existing work on automated fact checking is concerned with predicting the veracity of claims based on metadata, social network spread, language used in claims, and, more recently, evidence supporting …...

AbstractExtracting structured knowledge from product profiles is crucial for various applications in e-Commerce. State-of-the-art approaches for knowledge extraction were each designed for a single category of product, and thus do …...

AbstractBengali is a low-resource language that lacks tools and resources for profane and obscene textual content detection. Until now, no lexicon exists for detecting obscenity in Bengali social media text. …...

AbstractNatural Language Generation (NLG) evaluation is a multifaceted task requiring assessment of multiple desirable criteria, e.g., fluency, coherency, coverage, relevance, adequacy, overall quality, etc. Across existing datasets for 6 NLG …...

AbstractThis paper presents a corpus of AZee discourse expressions, i.e. expressions which formally describe Sign Language utterances of any length using the AZee approach and language. The construction of this …...

AbstractDesigning in-depth educational questions is a time-consuming and cognitively demanding task. Therefore, it is intriguing to study how to build Question Generation (QG) models to automate the question creation process. …...

AbstractA release note is a technical document that describes the latest changes to a software product and is crucial in open source software development. However, it still remains challenging to …...

AbstractMissing information is a common issue of dialogue summarization where some information in the reference summaries is not covered in the generated summaries. To address this issue, we propose to …...