activity
20152023
most citedFaithful to the Original: Fact Aware Neural Abstractive Summarization

174 citations · 534 across the 15 of their papers we have counts for

collaborators
Showing 2016 · cs.CLShow all

5 papers · 2 filters

cs.CL2016★ 43 cited

Improving Multi-Document Summarization via Text Classification

Ziqiang Cao, Wenjie Li, Sujian Li +1

Developed so far, multi-document summarization has reached its bottleneck due to the lack of sufficient training data and diverse categories of documents. Text classification just…

cs.CL2016★ 61 cited

Joint Copying and Restricted Generation for Paraphrase

Ziqiang Cao, Chuwei Luo, Wenjie Li +1

Many natural language generation tasks, such as abstractive summarization and text simplification, are paraphrase-orientated. In these tasks, copying and rewriting are two main wri…

cs.CL2016★ 8 cited

Recognizing Implicit Discourse Relations via Repeated Reading: Neural Networks with Multi-Level Attention

Yang Liu, Sujian Li

Recognizing implicit discourse relations is a challenging but important task in the field of Natural Language Processing. For such a complex text processing task, different from pr…

cs.CL2016

Implicit Discourse Relation Classification via Multi-Task Neural Networks

Yang Liu, Sujian Li, Xiaodong Zhang +1

Without discourse connectives, classifying implicit discourse relations is a challenging task and a bottleneck for building a practical discourse parser. Previous research usually…

cs.CL2016

Joint Learning Templates and Slots for Event Schema Induction

Lei Sha, Sujian Li, Baobao Chang +1

Automatic event schema induction (AESI) means to extract meta-event from raw text, in other words, to find out what types (templates) of event may exist in the raw text and what ro…