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ACL
2015
9 years 11 months ago
A Frame of Mind: Using Statistical Models for Detection of Framing and Agenda Setting Campaigns
Framing is a sophisticated form of discourse in which the speaker tries to induce a cognitive bias through consistent linkage between a topic and a specific context (frame). We b...
Oren Tsur, Dan Calacci, David Lazer
87
Voted
ACL
2015
9 years 11 months ago
Representation Based Translation Evaluation Metrics
Precisely evaluating the quality of a translation against human references is a challenging task due to the flexible word ordering of a sentence and the existence of a large numb...
Boxing Chen, Hongyu Guo
ACL
2015
9 years 11 months ago
Learning Answer-Entailing Structures for Machine Comprehension
Understanding open-domain text is one of the primary challenges in NLP. Machine comprehension evaluates the system’s ability to understand text through a series of question-answ...
Mrinmaya Sachan, Kumar Dubey, Eric P. Xing, Matthe...
ACL
2015
9 years 11 months ago
Radical Embedding: Delving Deeper to Chinese Radicals
Languages using Chinese characters are mostly processed at word level. Inspired by recent success of deep learning, we delve deeper to character and radical levels for Chinese lan...
Xinlei Shi, Junjie Zhai, Xudong Yang, Zehua Xie, C...
ACL
2015
9 years 11 months ago
Unsupervised extractive summarization via coverage maximization with syntactic and semantic concepts
Coverage maximization with bigram concepts is a state-of-the-art approach to unsupervised extractive summarization. It has been argued that such concepts are adequate and, in cont...
Natalie Schluter, Anders Søgaard
ACL
2015
9 years 11 months ago
Semantically Smooth Knowledge Graph Embedding
This paper considers the problem of embedding Knowledge Graphs (KGs) consisting of entities and relations into lowdimensional vector spaces. Most of the existing methods perform t...
Shu Guo, Quan Wang, Bin Wang, Lihong Wang, Li Guo
94
Voted
ACL
2015
9 years 11 months ago
Pre-training of Hidden-Unit CRFs
In this paper, we apply the concept of pretraining to hidden-unit conditional random fields (HUCRFs) to enable learning on unlabeled data. We present a simple yet effective pre-t...
Young-Bum Kim, Karl Stratos, Ruhi Sarikaya
ACL
2015
9 years 11 months ago
Disease Event Detection based on Deep Modality Analysis
Social media has attracted attention because of its potential for extraction of information of various types. For example, information collected from Twitter enables us to build u...
Yoshiaki Kitagawa, Mamoru Komachi, Eiji Aramaki, N...
ACL
2015
9 years 11 months ago
Distributional Neural Networks for Automatic Resolution of Crossword Puzzles
Automatic resolution of Crossword Puzzles (CPs) heavily depends on the quality of the answer candidate lists produced by a retrieval system for each clue of the puzzle grid. Previ...
Aliaksei Severyn, Massimo Nicosia, Gianni Barlacch...
ACL
2015
9 years 11 months ago
KeLP: a Kernel-based Learning Platform for Natural Language Processing
Kernel-based learning algorithms have been shown to achieve state-of-the-art results in many Natural Language Processing (NLP) tasks. We present KELP, a Java framework that suppor...
Simone Filice, Giuseppe Castellucci, Danilo Croce,...