Search Results for author: Rong Xiang

Found 17 papers, 1 papers with code

Evaluating Monolingual and Crosslingual Embeddings on Datasets of Word Association Norms

no code implementations LREC (BUCC) 2022 Trina Kwong, Emmanuele Chersoni, Rong Xiang

In free word association tasks, human subjects are presented with a stimulus word and are then asked to name the first word (the response word) that comes up to their mind.

Word Embeddings

The CogALex Shared Task on Monolingual and Multilingual Identification of Semantic Relations

no code implementations COLING (CogALex) 2020 Rong Xiang, Emmanuele Chersoni, Luca Iacoponi, Enrico Santus

One containing pairs for each of the training languages (systems were evaluated in a monolingual fashion) and the other proposing a surprise language to test the crosslingual transfer capabilities of the systems.

Relation

VIALM: A Survey and Benchmark of Visually Impaired Assistance with Large Models

no code implementations29 Jan 2024 Yi Zhao, Yilin Zhang, Rong Xiang, Jing Li, Hillming Li

Visually Impaired Assistance (VIA) aims to automatically help the visually impaired (VI) handle daily activities.

UniPoll: A Unified Social Media Poll Generation Framework via Multi-Objective Optimization

1 code implementation12 Jun 2023 Yixia Li, Rong Xiang, Yanlin Song, Jing Li

Social media platforms are essential outlets for expressing opinions, providing a valuable resource for capturing public viewpoints via text analytics.

Answer Generation Poll Generation

PolyU CBS-Comp at SemEval-2021 Task 1: Lexical Complexity Prediction (LCP)

no code implementations SEMEVAL 2021 Rong Xiang, Jinghang Gu, Emmanuele Chersoni, Wenjie Li, Qin Lu, Chu-Ren Huang

In this contribution, we describe the system presented by the PolyU CBS-Comp Team at the Task 1 of SemEval 2021, where the goal was the estimation of the complexity of words in a given sentence context.

Lexical Complexity Prediction Sentence +1

Sina Mandarin Alphabetical Words:A Web-driven Code-mixing Lexical Resource

no code implementations Asian Chapter of the Association for Computational Linguistics 2020 Rong Xiang, Mingyu Wan, Qi Su, Chu-Ren Huang, Qin Lu

Mandarin Alphabetical Word (MAW) is one indispensable component of Modern Chinese that demonstrates unique code-mixing idiosyncrasies influenced by language exchanges.

Automatic Learning of Modality Exclusivity Norms with Crosslingual Word Embeddings

no code implementations Joint Conference on Lexical and Computational Semantics 2020 Emmanuele Chersoni, Rong Xiang, Qin Lu, Chu-Ren Huang

Our experiments focused on crosslingual word embeddings, in order to predict modality association scores by training on a high-resource language and testing on a low-resource one.

Word Embeddings

Using Conceptual Norms for Metaphor Detection

no code implementations WS 2020 Mingyu WAN, Kathleen Ahrens, Emmanuele Chersoni, Menghan Jiang, Qi Su, Rong Xiang, Chu-Ren Huang

This paper reports a linguistically-enriched method of detecting token-level metaphors for the second shared task on Metaphor Detection.

Affection Driven Neural Networks for Sentiment Analysis

no code implementations LREC 2020 Rong Xiang, Yunfei Long, Mingyu Wan, Jinghang Gu, Qin Lu, Chu-Ren Huang

Deep neural network models have played a critical role in sentiment analysis with promising results in the recent decade.

Sentiment Analysis

Dual Memory Network Model for Biased Product Review Classification

no code implementations WS 2018 Yunfei Long, Mingyu Ma, Qin Lu, Rong Xiang, Chu-Ren Huang

In this work, we propose a dual user and product memory network (DUPMN) model to learn user profiles and product reviews using separate memory networks.

Classification General Classification +1

Fake News Detection Through Multi-Perspective Speaker Profiles

no code implementations IJCNLP 2017 Yunfei Long, Qin Lu, Rong Xiang, Minglei Li, Chu-Ren Huang

This paper proposes a novel method to incorporate speaker profiles into an attention based LSTM model for fake news detection.

Fake News Detection

A Cognition Based Attention Model for Sentiment Analysis

no code implementations EMNLP 2017 Yunfei Long, Qin Lu, Rong Xiang, Minglei Li, Chu-Ren Huang

Evaluations show the CBA based method outperforms the state-of-the-art local context based attention methods significantly.

Feature Engineering Product Recommendation +1

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