Articles

Given a parallel corpus, semantic projec- tion attempts to transfer semantic role an- notations from one language to another, typically by exploiting word alignments. In this paper, we present an improved method for obtaining constituent align- ments between parallel sentences to guide the role projection task. Our extensions are twofold: …...

This study aims at identifying when an event written in text occurs. In particular, we classify a sentence for an event into four time-slots; morning, daytime, eve- ning, and night. To realize our goal, we focus on expressions associated with time-slot (time-associated words). How- ever, listing up all the time-associated …...

This paper presents an approach for Mul- tilingual Document Clustering in compa- rable corpora. The algorithm is of heuris- tic nature and it uses as unique evidence for clustering the identification of cognate named entities between both sides of the comparable corpora. One of the main ad- vantages of this …...

Machine Transliteration is to transcribe a word written in a script with approximate phonetic equivalence in another lan- guage. It is useful for machine transla- tion, cross-lingual information retrieval, multilingual text and speech processing. Punjabi Machine Transliteration (PMT) is a special case of machine translitera- tion and is a process …...

This paper presents an adaptive learning framework for Phonetic Similarity Modeling (PSM) that supports the automatic construction of transliteration lexicons. The learning algorithm starts with minimum prior knowledge about machine transliteration, and acquires knowledge iteratively from the Web. We study the active learning and the unsupervised learning strategies that minimize …...

This paper shows that a simple two-stage approach to handle non-local dependen- cies in Named Entity Recognition (NER) can outperform existing approaches that handle non-local dependencies, while be- ing much more computationally efficient. NER systems typically use sequence mod- els for tractable inference, but this makes them unable to capture …...

This paper presents a method for adapting a language generator to the strengths and weaknesses of a synthetic voice, thereby improving the naturalness of synthetic speech in a spoken language dialogue sys- tem. The method trains a discriminative reranker to select paraphrases that are pre- dicted to sound natural when …...

We propose WIDL-expressions as a flex- ible formalism that facilitates the integra- tion of a generic sentence realization sys- tem within end-to-end language process- ing applications. WIDL-expressions rep- resent compactly probability distributions over finite sets of candidate realizations, and have optimal algorithms for realiza- tion via interpolation with language model …...

Unification grammars are widely accepted as an expressive means for describing the structure of natural languages. In gen- eral, the recognition problem is undecid- able for unification grammars. Even with restricted variants of the formalism, off- line parsable grammars, the problem is computationally hard. We present two nat- ural constraints …...

* Statistical ranking methods based on cen- troid vector (profile) extracted from ex- ternal knowledge have become widely adopted in the top definitional QA sys- tems in TREC 2003 and 2004. In these approaches, terms in the centroid vector are treated as a bag of words based on the independent …...

This paper demonstrates a conceptually simple but effective method of increasing the accuracy of QA systems on factoid-style questions. We define the notion of an inverted question, and show that by requiring that the answers to the original and inverted questions be mutually con- sistent, incorrect answers get demoted in …...

Subjectivity and meaning are both impor- tant properties of language. This paper ex- plores their interaction, and brings empir- ical evidence in support of the hypotheses that (1) subjectivity is a property that can be associated with word senses, and (2) word sense disambiguation can directly benefit from subjectivity annotations. …...

In this paper we investigate how to auto- matically determine if two document col- lections are written from different per- spectives. By perspectives we mean a point of view, for example, from the per- spective of Democrats or Republicans. We propose a test of different perspectives based on distribution divergence …...

This paper presents an approach to incrementally generating locative expressions. It addresses the is- sue of combinatorial explosion inherent in the con- struction of relational context models by: (a) con- textually defining the set of objects in the context that may function as a landmark, and (b) sequenc- ing the …...

We present a novel PCFG-based archi- tecture for robust probabilistic generation based on wide-coverage LFG approxima- tions (Cahill et al., 2004) automatically extracted from treebanks, maximising the probability of a tree given an f-structure. We evaluate our approach using string- based evaluation. We currently achieve coverage of 95.26%, a BLEU …...

A query speller is crucial to search en- gine in improving web search relevance. This paper describes novel methods for use of distributional similarity estimated from query logs in learning improved query spelling correction models. The key to our methods is the property of dis- tributional similarity between two terms: …...

A web search with double checking model is proposed to explore the web as a live corpus. Five association measures including variants of Dice, Overlap Ratio, Jaccard, and Cosine, as well as Co- Occurrence Double Check (CODC), are presented. In the experiments on Ruben- stein-Goodenough’s benchmark data set, the CODC …...

This paper introduces a novel framework for the accurate retrieval of relational con- cepts from huge texts. Prior to retrieval, all sentences are annotated with predicate argument structures and ontological iden- tifiers by applying a deep parser and a term recognizer. During the run time, user re- quests are converted …...

This paper presents a discriminative pruning method of n-gram language model for Chinese word segmentation. To reduce the size of the language model that is used in a Chinese word segmenta- tion system, importance of each bigram is computed in terms of discriminative pruning criterion that is related to the …...

Japanese case markers, which indicate the gram- matical relation of the complement NP to the predicate, often pose challenges to the generation of Japanese text, be it done by a foreign language learner, or by a machine translation (MT) system. In this paper, we describe the task of predicting Japanese …...