39 citations · 93 across the 10 of their papers we have counts for
10 papers
MMICL: Empowering Vision-language Model with Multi-Modal In-Context Learning
Haozhe Zhao, Zefan Cai, Shuzheng Si +7
Since the resurgence of deep learning, vision-language models (VLMs) enhanced by large language models (LLMs) have grown exponentially in popularity. However, while LLMs can utiliz…
SIRE: Separate Intra- and Inter-sentential Reasoning for Document-level Relation Extraction
Shuang Zeng, Yuting Wu, Baobao Chang
Document-level relation extraction has attracted much attention in recent years. It is usually formulated as a classification problem that predicts relations for all entity pairs i…
Incorporating Glosses into Neural Word Sense Disambiguation
Fuli Luo, Tianyu Liu, Qiaolin Xia +2
Word Sense Disambiguation (WSD) aims to identify the correct meaning of polysemous words in the particular context. Lexical resources like WordNet which are proved to be of great h…
Table-to-text Generation by Structure-aware Seq2seq Learning
Tianyu Liu, Kexiang Wang, Lei Sha +2
Table-to-text generation aims to generate a description for a factual table which can be viewed as a set of field-value records. To encode both the content and the structure of a t…
Order-Planning Neural Text Generation From Structured Data
Lei Sha, Lili Mou, Tianyu Liu +4
Generating texts from structured data (e.g., a table) is important for various natural language processing tasks such as question answering and dialog systems. In recent studies, r…
Syntax Aware LSTM Model for Chinese Semantic Role Labeling
Feng Qian, Lei Sha, Baobao Chang +2
As for semantic role labeling (SRL) task, when it comes to utilizing parsing information, both traditional methods and recent recurrent neural network (RNN) based methods use the f…
Improving Chinese SRL with Heterogeneous Annotations
Qiaolin Xia, Baobao Chang, Zhifang Sui
Previous studies on Chinese semantic role labeling (SRL) have concentrated on single semantically annotated corpus. But the training data of single corpus is often limited. Meanwhi…
Aligning Coordinated Text Streams through Burst Information Network Construction and Decipherment
Tao Ge, Qing Dou, Xiaoman Pan +5
Aligning coordinated text streams from multiple sources and multiple languages has opened many new research venues on cross-lingual knowledge discovery. In this paper we aim to adv…
Learning Word Sense Embeddings from Word Sense Definitions
Qi Li, Tianshi Li, Baobao Chang
Word embeddings play a significant role in many modern NLP systems. Since learning one representation per word is problematic for polysemous words and homonymous words, researchers…
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…