Articles

We propose an approach to Japanese pred- icate argument structure analysis exploit- ing argument position and type. In partic- ular, we propose the following two meth- ods. First, in order to use information in the sentences in preceding context of the predicate more effectively, we pro- pose an improved similarity …...

A multiword is compositional if its mean- ing can be expressed in terms of the mean- ing of its constituents. In this paper, we collect and analyse the compositionality judgments for a range of compound nouns using Mechanical Turk. Unlike exist- ing compositionality datasets, our dataset has judgments on the …...

Community-based Question Answering (cQA) is a popular online service where users can ask and answer questions on any topics. This paper is concerned with the problem of question retrieval. Ques- tion retrieval in cQA aims to find histori- cal questions that are semantically equiva- lent or relevant to the queried …...

This paper explores new approaches to ac- tive learning (AL) for semantic role label- ing (SRL), focusing in particular on com- bining typical informativity-based sam- pling strategies with a novel measure of representativeness based on compressed dependency trees (CDTs). In essence, the compressed representation encodes the target predicate and the …...

In recent years, keyphrase extraction has received great attention, and been success- fully employed by various applications. Keyphrases extracted from news articles can be used to concisely represent main contents of news events. Keyphrases can help users to speed up browsing and find the desired contents more quickly. In this …...

This paper presents a new method for Au- thorship Attribution (AA) on online fo- rum posts. The idea behind the method is to generate meta features that cap- ture modality specific similarity relations among texts from different authors. Each modality represents a particular linguistic dimension (syntactic, lexical, stylistic). To evaluate …...

We present an attempt to extract a large- scale Japanese learners’ corpus from the revision log of a language learning SNS. This corpus is easy to obtain in large- scale, covers a wide variety of topics and styles, and can be a great source of knowl- edge for both language …...

We observe that (1) it is difficult to combine transliteration and meaning translation when transforming named entities (NE); and (2) there are different translation variations in NE translation, due to different semantic informa- tion. From this basis, we propose a novel se- mantic-specific NE translation model, which automatically incorporates the …...

We compare the use of an unsupervised transliteration mining method and a rule- based method to automatically extract lists of transliteration word pairs from a par- allel corpus of Hindi/Urdu. We build joint source channel models on the auto- matically aligned orthographic transliter- ation units of the automatically extracted lists …...

This paper addresses the problem of pre- dicting the pronunciation of Japanese text. The difficulty of this task lies in the high degree of ambiguity in the pronunciation of Japanese characters and words. Previ- ous approaches have either considered the task as a word-level classification problem based on a dictionary, …...

This paper describes experiments on the TREC entity track that studies retrieval of homepages representing entities rele- vant to a query. Many studies have fo- cused on extracting entities that match the given coarse-grained types such as or- ganizations, persons, locations by using a named entity recognizer, and employ- ing …...

The phrase based systems for machine translation are limited by the phrases that they see during the training. For highly in- flected languages, it is uncommon to see all the forms of a word in the parallel cor- pora used during training. This problem is amplified for verbs in highly …...

Event coreference is an important and compli- cated task in cascaded event template extraction and other natural language processing tasks. De- spite its importance, it was merely discussed in previous studies. In this paper, we present a glo- bally optimized coreference resolution system dedicated to various sophisticated event corefe- rence …...

There is no generally accepted met- ric for measuring the performance of anaphora resolution systems, and the ex- isting metrics—MUC, B3, CEAF, Blanc, among others—tend to reward signifi- cantly different behaviors. Systems op- timized according to one metric tend to perform poorly with respect to other ones, making it very …...

We present a novel topic modeling ap- proach to sentiment analysis for docu- ments organized into hierarchical cate- gories. In our approach, positive, nega- tive, and subject matter topics are learned and used to infer document labels. Markov chain Monte Carlo model pro-A cedure adapts the number and structure of …...

Temporal relations between events is a valu- able source of information which can be used in a large number of natural language pro- cessing applications such as question answer- ing, summarization, and information extrac- tion. Supervised temporal relation classifica- tion requires large corpora which are difficult, time consuming, and expensive …...

Lexicalized reordering models play a cen- tral role in phrase-based statistical ma- chine translation systems. Starting from the distance-based reordering model, im- provements have been made by consider- ing adjacent words in word-based mod- els, adjacent phrases pairs in phrase- based models, and finally, all phrases pairs in a sentence …...

Word ordering remains as an essen- tial problem for translating between lan- guages with substantial structural differ- ences, such as SOV and SVO languages. In this paper, we propose to automatically extract pre-ordering rules from predicate- argument structures. A pre-ordering rule records the relative position mapping of a predicate word …...

This paper presents a new task, learning logical structures of paragraphs in legal ar- ticles, which is studied in research on Le- gal Engineering (Katayama, 2007). The goals of this task are recognizing logi- cal parts of law sentences in a paragraph, and then grouping related logical parts into some …...

This paper focuses on examining the effect of extra-linguistic information, such as eye gaze, integrated with linguistic informa- tion on multi-modal reference resolution. In our evaluation, we employ eye gaze information together with other linguistic factors in machine learning, while in prior work such as Kelleher (2006) and Prasov and …...