Articles

. This paper shows that our WSD system using rich linguistic features achieved high accuracy in the classification of English SENSEVAL2 verbs for both fine-grained (64.6%) and coarse-grained (73.7%) senses. We describe three specific enhancements to our treatment of rich linguistic features and pre- sent their separate and combined contributions …...

. This paper describes a novel method for a word sense disam- biguation that utilizes relatives (i.e. synonyms, hypernyms, meronyms, etc in WordNet) of a target word and raw corpora. The method disam- biguates senses of a target word by selecting a relative that most prob- ably occurs in a …...

. Lexical Conceptual Structure (LCS) represents verbs as semantic structures with a limited number of semantic predicates. This paper attempts to exploit how LCS can be used to explain the regularities underlying lexical and syntactic paraphrases, such as verb alternation, compound word decomposition, and lexical derivation. We propose a paraphrase …...

. Recent work on Conditional Random Fields (CRFs) has demonstrated the need for regularisation when applying these models to real-world NLP data sets. Conventional approaches to regularising CRFs has focused on using a Gaussian prior over the model parameters. In this paper we explore other possibilities for CRF regularisation. We …...

. We implement a variant of the algorithm described by Yarowsky and Ngai in [21] to induce an HMM POS tagger for an ar- bitrary target language using only an existing POS tagger for a source language and an unannotated parallel corpus between the source and tar- get languages. We …...

. Recent “visual worlds” studies, wherein researchers study language in context by monitoring eye-movements in a visual scene during sentence process- ing, have revealed much about the interaction of diverse information sources and the time course of their influence on comprehension. In this study, five experi- ments that trade off …...

. Creation titles, i.e. titles of literary and/or artistic works, comprise over 7% of named entities in Chinese documents. They are the fourth large sort of named entities in Chinese other than personal names, location names, and organization names. However, they are rarely mentioned and studied before. Chinese title recognition …...

. Hidden Markov Model (Hmm) is one of the most popular language models. To improve its predictive power, one of Hmm hypotheses, named limited history hypothesis, is usually relaxed. Then Higher-order Hmm is built up. But there are several severe problems hampering the applications of high- order Hmm, such as …...

. This paper proposes a method for detecting errors concern- ing article usage and singular/plural usage based on the mass count distinction. Although the mass count distinction is particularly impor- tant in detecting these errors, it has been pointed out that it is hard to make heuristic rules for distinguishing …...

. The current work applies Conditional Random Fields to the problem of temporal reference mapping from Chinese text to English text. The learning algorithm utilizes a moderate number of linguistic features that are easy and in- expensive to obtain. We train a tense classifier upon a small amount of manu- …...

. This paper reports on a study of semantic role tagging in Chinese, in the absence of a parser. We investigated the effect of using only lexical infor- mation in statistical training; and proposed to identify the relevant headwords in a sentence as a first step to partially locate the …...

. Recently, researchers have applied text- and web-mining algorithms to mine semantic resources. The result is often a noisy graph of relations be- tween words. We propose a mathematically rigorous refinement framework, which uses path-based analysis, updating the likelihood of a relation between a pair of nodes using evidence provided …...

. We propose a method for labelling prepositional phrases ac- cording to two different semantic role classifications, as contained in the Penn treebank and the CoNLL 2004 Semantic Role Labelling data set. Our results illustrate the difficulties in determining preposition seman- tics, but also demonstrate the potential for PP semantic …...

. We present a new method for computing semantic relatedness of con- cepts. The method relies solely on the structure of a conceptual network and eliminates the need for performing additional corpus analysis. The network struc- ture is employed to generate artificial conceptual glosses. They replace textual definitions proper written …...

. In this paper, we describe a method of automatically gener- ating summary slides from a text. The slides are generated by itemizing topic/non-topic parts that are extracted from the text based on syntac- tic/case analysis. The indentations of the items are controlled according to the discourse structure, which is …...

. In this paper, a resolution system is presented to tackle nominal and pronominal anaphora in biomedical literature by using rich set of syntactic and semantic features. Unlike previous researches, the verification of semantic as- sociation between anaphors and their antecedents is facilitated by exploiting more outer resources, including UMLS, …...

. A speech act is a linguistic action intended by a speaker. It is impor- tant to analyze the speech act for the dialogue understanding system because the speech act of an utterance is closely tied with the user’s intention in the utter- ance. This paper proposes to use a …...

. Although effective for antecedent determination, the tradi- tional twin-candidate model can not prevent the invalid resolution of non-anaphors without additional measures. In this paper we propose a modified learning framework for the twin-candidate model. In the new framework, we make use of non-anaphors to create a special class of …...

. This article presents a method of extracting bilingual lexica composed of single-word terms (SWTs) and multi-word terms (MWTs) from comparable corpora of a technical domain. First, this method ex- tracts MWTs in each language, and then uses statistical methods to align single words and MWTs by exploiting the term …...

. Temporal information is useful in many NLP applications, such as information extraction, question answering and summarization. In this paper, we present a temporal parser for extracting and normalizing temporal expres- sions from Chinese texts. An integrated temporal framework is proposed, which includes basic temporal concepts and the classification of …...