EMNLP
2010
13 years 1 months ago
2010
We present a new syntactic parser that works left-to-right and top down, thus maintaining a fully-connected parse tree for a few alternative parse hypotheses. All of the commonly ...
EMNLP
2010
13 years 1 months ago
2010
We present a novel approach to relation extraction that integrates information across documents, performs global inference and requires no labelled text. In particular, we tackle ...
EMNLP
2010
13 years 2 months ago
2010
We propose an approach to adjective-noun composition (AN) for corpus-based distributional semantics that, building on insights from theoretical linguistics, represents nouns as ve...
EMNLP
2010
13 years 2 months ago
2010
In this paper, we investigate structured models for document-level sentiment classification. When predicting the sentiment of a subjective document (e.g., as positive or negative)...
EMNLP
2010
13 years 2 months ago
2010
This paper proposes a method for automatically inserting commas into Japanese texts. In Japanese sentences, commas play an important role in explicitly separating the constituents...
EMNLP
2010
13 years 2 months ago
2010
The PECO framework is a knowledge representation for formulating clinical questions. Queries are decomposed into four aspects, which are Patient-Problem (P), Exposure (E), Compari...
EMNLP
2010
13 years 2 months ago
2010
This paper focuses on the task of inserting punctuation symbols into transcribed conversational speech texts, without relying on prosodic cues. We investigate limitations associat...
EMNLP
2010
13 years 2 months ago
2010
In state-of-the-art approaches to information extraction (IE), dependency graphs constitute the fundamental data structure for syntactic structuring and subsequent knowledge elici...
EMNLP
2010
13 years 2 months ago
2010
The research question treated in this paper is centered on the idea of exploiting rich resources of one language to enhance the performance of a mention detection system of anothe...
EMNLP
2010
13 years 2 months ago
2010
Using multi-layer neural networks to estimate the probabilities of word sequences is a promising research area in statistical language modeling, with applications in speech recogn...