Search Results for author: Bowen Yu

Found 46 papers, 25 papers with code

Maximal Clique Based Non-Autoregressive Open Information Extraction

no code implementations EMNLP 2021 Bowen Yu, Yucheng Wang, Tingwen Liu, Hongsong Zhu, Limin Sun, Bin Wang

However, the popular OpenIE systems usually output facts sequentially in the way of predicting the next fact conditioned on the previous decoded ones, which enforce an unnecessary order on the facts and involve the error accumulation between autoregressive steps.

Open Information Extraction

Enhancing Chinese Pre-trained Language Model via Heterogeneous Linguistics Graph

3 code implementations ACL 2022 Yanzeng Li, Jiangxia Cao, Xin Cong, Zhenyu Zhang, Bowen Yu, Hongsong Zhu, Tingwen Liu

Chinese pre-trained language models usually exploit contextual character information to learn representations, while ignoring the linguistics knowledge, e. g., word and sentence information.

Language Modelling

Language Models are Super Mario: Absorbing Abilities from Homologous Models as a Free Lunch

1 code implementation6 Nov 2023 Le Yu, Bowen Yu, Haiyang Yu, Fei Huang, Yongbin Li

Based on this observation, we further sparsify delta parameters of multiple SFT homologous models with DARE and subsequently merge them into a single model by parameter averaging.

GSM8K Instruction Following

Diversify Question Generation with Retrieval-Augmented Style Transfer

1 code implementation23 Oct 2023 Qi Gou, Zehua Xia, Bowen Yu, Haiyang Yu, Fei Huang, Yongbin Li, Nguyen Cam-Tu

Given a textual passage and an answer, humans are able to ask questions with various expressions, but this ability is still challenging for most question generation (QG) systems.

Question Answering Question Generation +4

Improving Question Generation with Multi-level Content Planning

1 code implementation20 Oct 2023 Zehua Xia, Qi Gou, Bowen Yu, Haiyang Yu, Fei Huang, Yongbin Li, Cam-Tu Nguyen

Previous studies have suggested that key phrase selection is essential for question generation (QG), yet it is still challenging to connect such disjointed phrases into meaningful questions, particularly for long context.

Answer Generation Question Generation +2

Quantifying and mitigating the impact of label errors on model disparity metrics

no code implementations4 Oct 2023 Julius Adebayo, Melissa Hall, Bowen Yu, Bobbie Chern

We empirically assess the proposed approach on a variety of datasets and find significant improvement, compared to alternative approaches, in identifying training inputs that improve a model's disparity metric.

A Preliminary Study of the Intrinsic Relationship between Complexity and Alignment

1 code implementation10 Aug 2023 Yingxiu Zhao, Bowen Yu, Binyuan Hui, Haiyang Yu, Fei Huang, Yongbin Li, Nevin L. Zhang

By adjusting the number of added nodes, we can control the difficulty level in the modified instruction data.

Wider and Deeper LLM Networks are Fairer LLM Evaluators

1 code implementation3 Aug 2023 Xinghua Zhang, Bowen Yu, Haiyang Yu, Yangyu Lv, Tingwen Liu, Fei Huang, Hongbo Xu, Yongbin Li

Each perspective corresponds to the role of a specific LLM neuron in the first layer.

Preference Ranking Optimization for Human Alignment

no code implementations30 Jun 2023 Feifan Song, Bowen Yu, Minghao Li, Haiyang Yu, Fei Huang, Yongbin Li, Houfeng Wang

In this paper, we propose Preference Ranking Optimization (PRO) as an alternative to PPO for directly aligning LLMs with the Bradley-Terry comparison.

Unified Language Representation for Question Answering over Text, Tables, and Images

no code implementations29 Jun 2023 Bowen Yu, Cheng Fu, Haiyang Yu, Fei Huang, Yongbin Li

When trying to answer complex questions, people often rely on multiple sources of information, such as visual, textual, and tabular data.

Question Answering Retrieval

Causal Document-Grounded Dialogue Pre-training

no code implementations18 May 2023 Yingxiu Zhao, Bowen Yu, Haiyang Yu, Bowen Li, Jinyang Li, Chao Wang, Fei Huang, Yongbin Li, Nevin L. Zhang

To tackle this issue, we are the first to present a causally-complete dataset construction strategy for building million-level DocGD pre-training corpora.

Domain Incremental Lifelong Learning in an Open World

1 code implementation11 May 2023 Yi Dai, Hao Lang, Yinhe Zheng, Bowen Yu, Fei Huang, Yongbin Li

Specifically, we dedicate task-level prompts to capture task-specific knowledge to retain high LL performances and maintain instance-level prompts to learn knowledge shared across input samples to improve the model's generalization performance.

Language Modelling

ID-MixGCL: Identity Mixup for Graph Contrastive Learning

no code implementations20 Apr 2023 Gehang Zhang, Bowen Yu, Jiangxia Cao, Xinghua Zhang, Tingwen Liu, Chuan Zhou

Recently developed graph contrastive learning (GCL) approaches compare two different "views" of the same graph in order to learn node/graph representations.

Contrastive Learning Graph Classification +1

Towards Generalized Open Information Extraction

no code implementations29 Nov 2022 Bowen Yu, Zhenyu Zhang, Jingyang Li, Haiyang Yu, Tingwen Liu, Jian Sun, Yongbin Li, Bin Wang

Open Information Extraction (OpenIE) facilitates the open-domain discovery of textual facts.

Open Information Extraction

Semi-Supervised Lifelong Language Learning

1 code implementation23 Nov 2022 Yingxiu Zhao, Yinhe Zheng, Bowen Yu, Zhiliang Tian, Dongkyu Lee, Jian Sun, Haiyang Yu, Yongbin Li, Nevin L. Zhang

In this paper, we explore a novel setting, semi-supervised lifelong language learning (SSLL), where a model learns sequentially arriving language tasks with both labeled and unlabeled data.

Transfer Learning

Layout-Aware Information Extraction for Document-Grounded Dialogue: Dataset, Method and Demonstration

no code implementations14 Jul 2022 Zhenyu Zhang, Bowen Yu, Haiyang Yu, Tingwen Liu, Cheng Fu, Jingyang Li, Chengguang Tang, Jian Sun, Yongbin Li

In this paper, we propose a Layout-aware document-level Information Extraction dataset, LIE, to facilitate the study of extracting both structural and semantic knowledge from visually rich documents (VRDs), so as to generate accurate responses in dialogue systems.

Language Modelling

Relation-Guided Few-Shot Relational Triple Extraction

1 code implementation SIGIR 2022 Xin Cong, Jiawei Sheng, Shiyao Cui, Bowen Yu, Tingwen Liu, Bin Wang

To instantiate this strategy, we further propose a model, RelATE, which builds a dual-level attention to aggregate relationrelevant information to detect the relation occurrence and utilizes the annotated samples of the detected relations to extract the corresponding head/tail entities.


Profiling and Evolution of Intellectual Property

no code implementations20 Apr 2022 Bowen Yu, Yingxia Shao, Ang Li

In recent years, with the rapid growth of Internet data, the number and types of scientific and technological resources are also rapidly expanding.


Web Page Content Extraction Based on Multi-feature Fusion

no code implementations21 Mar 2022 Bowen Yu, Junping Du, Yingxia Shao

With the rapid growth of the number and types of web resources, there are still problems to be solved when using a single strategy to extract the text information of different pages.

Document-Level Event Extraction via Human-Like Reading Process

no code implementations7 Feb 2022 Shiyao Cui, Xin Cong, Bowen Yu, Tingwen Liu, Yucheng Wang, Jinqiao Shi

Meanwhile, rough reading is explored in a multi-round manner to discover undetected events, thus the multi-events problem is handled.

Document-level Event Extraction Event Extraction

Improving Distantly-Supervised Named Entity Recognition with Self-Collaborative Denoising Learning

1 code implementation EMNLP 2021 Xinghua Zhang, Bowen Yu, Tingwen Liu, Zhenyu Zhang, Jiawei Sheng, Mengge Xue, Hongbo Xu

Distantly supervised named entity recognition (DS-NER) efficiently reduces labor costs but meanwhile intrinsically suffers from the label noise due to the strong assumption of distant supervision.

Denoising named-entity-recognition +2

Label Enhanced Event Detection with Heterogeneous Graph Attention Networks

no code implementations3 Dec 2020 Shiyao Cui, Bowen Yu, Xin Cong, Tingwen Liu, Quangang Li, Jinqiao Shi

A heterogeneous graph attention networks is then introduced to propagate relational message and enrich information interaction.

Event Detection Graph Attention

Porous Lattice Transformer Encoder for Chinese NER

no code implementations COLING 2020 Xue Mengge, Bowen Yu, Tingwen Liu, Yue Zhang, Erli Meng, Bin Wang

Incorporating lexicons into character-level Chinese NER by lattices is proven effective to exploitrich word boundary information.


Document-level Relation Extraction with Dual-tier Heterogeneous Graph

no code implementations COLING 2020 Zhenyu Zhang, Bowen Yu, Xiaobo Shu, Tingwen Liu, Hengzhu Tang, Wang Yubin, Li Guo

Document-level relation extraction (RE) poses new challenges over its sentence-level counterpart since it requires an adequate comprehension of the whole document and the multi-hop reasoning ability across multiple sentences to reach the final result.

Decision Making Document-level Relation Extraction

TPLinker: Single-stage Joint Extraction of Entities and Relations Through Token Pair Linking

1 code implementation COLING 2020 Yucheng Wang, Bowen Yu, Yueyang Zhang, Tingwen Liu, Hongsong Zhu, Limin Sun

To mitigate the issue, we propose in this paper a one-stage joint extraction model, namely, TPLinker, which is capable of discovering overlapping relations sharing one or both entities while immune from the exposure bias.

Relation Extraction

Inductive Unsupervised Domain Adaptation for Few-Shot Classification via Clustering

1 code implementation23 Jun 2020 Xin Cong, Bowen Yu, Tingwen Liu, Shiyao Cui, Hengzhu Tang, Bin Wang

We first build a representation extractor to derive features for unlabeled data from the target domain (no test data is necessary) and then group them with a cluster miner.

Classification Clustering +2

Enhancing Pre-trained Chinese Character Representation with Word-aligned Attention

1 code implementation ACL 2020 Yanzeng Li, Bowen Yu, Mengge Xue, Tingwen Liu

Most Chinese pre-trained models take character as the basic unit and learn representation according to character's external contexts, ignoring the semantics expressed in the word, which is the smallest meaningful utterance in Chinese.

Joint Extraction of Entities and Relations Based on a Novel Decomposition Strategy

1 code implementation10 Sep 2019 Bowen Yu, Zhen-Yu Zhang, Xiaobo Shu, Yubin Wang, Tingwen Liu, Bin Wang, Sujian Li

Joint extraction of entities and relations aims to detect entity pairs along with their relations using a single model.

Relation Extraction

FlowSense: A Natural Language Interface for Visual Data Exploration within a Dataflow System

1 code implementation2 Aug 2019 Bowen Yu, Claudio T. Silva

Dataflow visualization systems enable flexible visual data exploration by allowing the user to construct a dataflow diagram that composes query and visualization modules to specify system functionality.

Machine Translation

Visus: An Interactive System for Automatic Machine Learning Model Building and Curation

no code implementations5 Jul 2019 Aécio Santos, Sonia Castelo, Cristian Felix, Jorge Piazentin Ono, Bowen Yu, Sungsoo Hong, Cláudio T. Silva, Enrico Bertini, Juliana Freire

In this paper, we present Visus, a system designed to support the model building process and curation of ML data processing pipelines generated by AutoML systems.

AutoML BIG-bench Machine Learning

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