EMNLP 2014

Convolutional Neural Networks for Sentence Classification

EMNLP 2014 facebookresearch/pytext

We report on a series of experiments with convolutional neural networks (CNN) trained on top of pre-trained word vectors for sentence-level classification tasks.

SENTENCE CLASSIFICATION SENTIMENT ANALYSIS

Classifying Idiomatic and Literal Expressions Using Topic Models and Intensity of Emotions

EMNLP 2014 bondfeld/BNC_idioms

Our starting point is that words in a given text segment, such as a paragraph, that are highranking representatives of a common topic of discussion are less likely to be a part of an idiomatic expression.

OUTLIER DETECTION TOPIC MODELS

Question Answering with Subgraph Embeddings

EMNLP 2014 gmtt/CSCI590

Training our system using pairs of questions and structured representations of their answers, and pairs of question paraphrases, yields competitive results on a competitive benchmark of the literature.

QUESTION ANSWERING