E-raamat: Natural Language Processing and Chinese Computing: 10th CCF International Conference, NLPCC 2021, Qingdao, China, October 13-17, 2021, Proceedings, Part II

Posters - Fundamentals of NLP.- Syntax and Coherence - The Effect on
Automatic Argument Quality Assessment.- ExperienceGen 1.0: A Text Generation
Challenge Which Requires Deduction and Induction Ability.- Machine
Translation and Multilinguality.- SynXLM-R: Syntax-enhanced XLM-R in
Translation Quality Estimation.- Machine Learning for NLP.- Memetic Federated
Learning for Biomedical Natural Language Processing.- Information Extraction
and Knowledge Graph.- Event Argument Extraction via a Distance-Sensitive
Graph Convolutional Network.- Exploit Vague Relation: An Augmented Temporal
Relation Corpus and Evaluation.- Searching Effective Transformer for Seq2Seq
Keyphrase Generation.- Prerequisite Learning with Pre-trained Language and
Graph Embedding Models.- Summarization and Generation.- Variational
Autoencoder with Interactive Attention for Affective Text Generation.-
CUSTOM: Aspect-Oriented Product Summarization for E-Commerce.- Question
Answering.-FABERT: A Feature Aggregation BERT-Based Model for Document
Reranking.- Generating Relevant, Correct and Fluent Answers in Natural Answer
Generation.- GeoCQA: A Large-scale Geography-Domain Chinese Question
Answering Dataset from Examination.- Dialogue Systems.- Generating
Informative Dialogue Responses with Keywords-Guided Networks.- Zero-Shot
Deployment for Cross-Lingual Dialogue System.- MultiWOZ 2.3: A multi-domain
task-oriented dialogue dataset enhanced with annotation corrections and
co-reference annotation.- EmoDialoGPT: Enhancing DialoGPT with Emotion.-
Social Media and Sentiment Analysis.- BERT-based Meta-learning Approach with
Looking Back for Sentiment Analysis of Literary Book Reviews.- ISWR: an
Implicit Sentiment Words Recognition Model Based on Sentiment Propagation.-
An Aspect-Centralized Graph Convolutional Network for Aspect-based Sentiment
Classification.- NLP Applications and Text Mining.- Capturing Global
Informativeness in Open Domain Keyphrase Extraction.- Background Semantic
Information Improves VerbalMetaphor Identification.- Multimodality and
Explainability.- Towards unifying the explainability evaluation methods for
NLP.- Explainable AI Workshop.- Detecting Covariate Drift with Explanations.-
A Data-Centric Approach Towards Deducing Bias in Artificial Intelligence
Systems for Textual Contexts.- Student Workshop.- Enhancing Model Robustness
via Lexical Distilling.- Multi-stage Multi-modal Pre-training for Video
Representation.- Nested Causality Extraction on Traffic Accident Texts as
Question Answering.- Evaluation Workshop.- MSDF: A General Open-Domain
Multi-Skill Dialog Framework.- RoKGDS: A Robust Knowledge Grounded Dialog
System.- Enhanced Few-shot Learning with Multiple-Pattern-Exploiting
Training.- BIT-Event at NLPCC-2021 Task 3: Subevent Identification via
Adversarial Training.- Few-shot Learning for Chinese NLP tasks.- When
Few-shot Learning Meets Large-scale Knowledge-enhanced Pre-training: Alibaba
at FewCLUE.- TKB²ert: Two-stage Knowledge Infused Behavioral Fine-tuned
BERT.- A Unified Information Extraction System Based on Role Recognition and
Combination.- A Simple but Effective System for Multi-format Information
Extraction.- A Hierarchical Sequence Labeling Model for Argument Pair
Extraction.- Distant finetuning with discourse relations for stance
classification.- The Solution of Xiaomi AI Lab to the 2021 Language and
Intelligence Challenge: Multi-Format Information Extraction Task.- A Unified
Platform for Information Extraction with Two-stage Process.- Overview of the
NLPCC 2021 Shared Task: AutoIE2.- Task 1 - Argumentative Text Understanding
for AI Debater (AIDebater).- Two Stage Learning for Argument Pairs
Extraction.- Overview of Argumentative Text Understanding for AI Debater
Challenge.- ACE: A Context-Enhanced model for Interactive Argument Pair
Identification.- Context-Aware and Data-Augmented Transformer for Interactive
Argument Pair Identification.- ARGUABLY @ AI Debater-NLPCC 2021 Task 3:
Argument Pair Extraction from Peer Review and Rebuttals.- Sentence Rewriting
for Fine-Tuned Model Based on Dictionary: Taking the Track 1 of NLPCC 2021
Argumentative Text Understanding for AI Debater as an Example.- Knowledge
Enhanced transformers System for Claim Stance Classification.