Sciweavers

ACL
2015
8 years 6 months ago
Entity-Centric Coreference Resolution with Model Stacking
Mention pair models that predict whether or not two mentions are coreferent have historically been very effective for coreference resolution, but do not make use of entity-level i...
Kevin Clark, Christopher D. Manning
ACL
2015
8 years 6 months ago
Event-Driven Headline Generation
We propose an event-driven model for headline generation. Given an input document, the system identifies a key event chain by extracting a set of structural events that describe ...
Rui Sun, Yue Zhang, Meishan Zhang, Dong-Hong Ji
ACL
2015
8 years 6 months ago
Revisiting Word Embedding for Contrasting Meaning
Contrasting meaning is a basic aspect of semantics. Recent word-embedding models based on distributional semantics hypothesis are known to be weak for modeling lexical contrast. W...
Zhigang Chen, Wei Lin, Qian Chen, Xiaoping Chen, S...
ACL
2015
8 years 6 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
ACL
2015
8 years 6 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
8 years 6 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
8 years 6 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
8 years 6 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
8 years 6 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
ACL
2015
8 years 6 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