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Word sense disambiguation and the related field of automated word sense induction traditionally
assume that the occurrences of a lemma can be partitioned into senses. But this seems
to be a much eas...
A Survey of Word Reordering in Statistical Machine Translation: Computational Models and Language Phenomena
Computational Models Language Phenomena
2016/7/7
Word reordering is one of the most difficult aspects of statistical machine translation (SMT),
and an important factor of its quality and efficiency. Despite the vast amount of research
published to...
A Study of Machine Reading–Solving Math Word Problems in a Human Comprehensive Way
Machine Reading Math Word Human Comprehensive
2016/2/25
Since Big Data mainly aims to explore the correlation between surface features but not their underlying causality relationship, the Big Mechanism program was initiated by DARPA (USA) to find out “why”...
Graph-Based Word Alignment for Clinical Language Evaluation
Graph-Based Word Alignment Clinical Language Evaluation
2016/2/23
Among the more recent applications for natural language processing algorithms has been the analysis of spoken language data for diagnostic and remedial purposes, fueled by the demand for simple, objec...
四川师范大学基础教学学院英汉和汉英翻译课件 word conversion。
Discriminative Syntax-Based Word Ordering for Text Generation
Syntax-Based Word Ordering Text Generation
2015/9/16
Word ordering is a fundamental problem in text generation. In this article, we study word ordering using a syntax-based approach and a discriminative model. Two grammar formalisms are considered: Comb...
Cross-lingual Sentiment Lexicon Learning With Bilingual Word Graph Label Propagation
Sentiment Lexicon Learning Bilingual Word Graph Label
2015/9/15
In this article we address the task of cross-lingual sentiment lexicon learning, which aims to automatically generate sentiment lexicons for the target languages with available English sentiment lexic...
Improved Estimation of Entropy for Evaluation of Word Sense Induction
Entropy for Evaluation Word Sense Induction
2015/9/14
Information-theoretic measures are among the most standard techniques for evaluation of clustering methods including word sense induction (WSI) systems. Such measures rely on sample-based estimates of...
A Large-Scale Pseudoword-Based Evaluation Framework for State-of-the-Art Word Sense Disambiguation
Large-Scale Pseudoword State-of-the-Art Word Sense Disambiguation
2015/9/14
The evaluation of several tasks in lexical semantics is often limited by the lack of large amounts of manual annotations, not only for training purposes, but also for testing purposes. Word Sense Disa...
Word sense disambiguation (WSD) is an old and important task in computational linguistics that still remains challenging, to machines as well as to human annotators. Recently there have been several p...
Clustering and Diversifying Web Search Results with Graph-Based Word Sense Induction
Clustering and Diversifying Web Search Graph Word Sense Induction
2015/9/11
Web search result clustering aims to facilitate information search on the Web. Rather than the results of a query being presented as a flat list, they are grouped on the basis of their similarity and ...
This article proposes ESA, a new unsupervised approach to word segmentation. ESA is an iterative process consisting of 3 phases: Evaluation, Selection, and Adjustment. In Evaluation, both certainty an...
Discriminative Word Alignment by Linear Modeling
Discriminative Word Alignment Linear Modeling
2015/9/8
Word alignment plays an important role in many NLP tasks as it indicates the correspondence between words in a parallel text. Although widely used to align large bilingual corpora, generative models a...
Learning Tractable Word Alignment Models with Complex Constraints
Learning Tractable Word Alignment Models Complex Constraints
2015/9/8
Word-level alignment of bilingual text is a critical resource for a growing variety of tasks. Probabilistic models for word alignment present a fundamental trade-off between richness of captured const...
Word lattice decoding has proven useful in spoken language translation; we argue that it provides a compelling model for translation of text genres, as well. We show that prior work in translating lat...