Search Results for author: Sherzod Hakimov

Found 23 papers, 19 papers with code

M2SA: Multimodal and Multilingual Model for Sentiment Analysis of Tweets

no code implementations2 Apr 2024 Gaurish Thakkar, Sherzod Hakimov, Marko Tadić

In recent years, multimodal natural language processing, aimed at learning from diverse data types, has garnered significant attention.

Language Modelling Large Language Model +1

Sharing the Cost of Success: A Game for Evaluating and Learning Collaborative Multi-Agent Instruction Giving and Following Policies

1 code implementation26 Mar 2024 Philipp Sadler, Sherzod Hakimov, David Schlangen

In collaborative goal-oriented settings, the participants are not only interested in achieving a successful outcome, but do also implicitly negotiate the effort they put into the interaction (by adapting to each other).

Learning Communication Policies for Different Follower Behaviors in a Collaborative Reference Game

no code implementations7 Feb 2024 Philipp Sadler, Sherzod Hakimov, David Schlangen

Albrecht and Stone (2018) state that modeling of changing behaviors remains an open problem "due to the essentially unconstrained nature of what other agents may do".

Unveiling Global Narratives: A Multilingual Twitter Dataset of News Media on the Russo-Ukrainian Conflict

1 code implementation22 Jun 2023 Sherzod Hakimov, Gullal S. Cheema

The ongoing Russo-Ukrainian conflict has been a subject of intense media coverage worldwide.

Improving Generalization for Multimodal Fake News Detection

1 code implementation29 May 2023 Sahar Tahmasebi, Sherzod Hakimov, Ralph Ewerth, Eric Müller-Budack

To reduce the bias and improve model generalization, we suggest training data augmentation to conduct more meaningful experiments for fake news detection on social media.

Data Augmentation Fake News Detection +1

Images in Language Space: Exploring the Suitability of Large Language Models for Vision & Language Tasks

1 code implementation23 May 2023 Sherzod Hakimov, David Schlangen

Specifically, we investigate the performance of open-source, open-access language models against GPT-3 on five vision-language tasks when given textually-encoded visual information.

Few-Shot Learning Language Modelling

Clembench: Using Game Play to Evaluate Chat-Optimized Language Models as Conversational Agents

1 code implementation22 May 2023 Kranti Chalamalasetti, Jana Götze, Sherzod Hakimov, Brielen Madureira, Philipp Sadler, David Schlangen

Recent work has proposed a methodology for the systematic evaluation of "Situated Language Understanding Agents"-agents that operate in rich linguistic and non-linguistic contexts-through testing them in carefully constructed interactive settings.

Yes, this Way! Learning to Ground Referring Expressions into Actions with Intra-episodic Feedback from Supportive Teachers

1 code implementation22 May 2023 Philipp Sadler, Sherzod Hakimov, David Schlangen

The ability to pick up on language signals in an ongoing interaction is crucial for future machine learning models to collaborate and interact with humans naturally.

Referring Expression

MM-Locate-News: Multimodal Focus Location Estimation in News

1 code implementation15 Nov 2022 Golsa Tahmasebzadeh, Eric Müller-Budack, Sherzod Hakimov, Ralph Ewerth

In this paper, a novel dataset called Multimodal Focus Location of News (MM-Locate-News) is introduced.

News Retrieval Retrieval

TIB-VA at SemEval-2022 Task 5: A Multimodal Architecture for the Detection and Classification of Misogynous Memes

1 code implementation SemEval (NAACL) 2022 Sherzod Hakimov, Gullal S. Cheema, Ralph Ewerth

The detection of offensive, hateful content on social media is a challenging problem that affects many online users on a daily basis.

Combining Textual Features for the Detection of Hateful and Offensive Language

1 code implementation9 Dec 2021 Sherzod Hakimov, Ralph Ewerth

The detection of offensive, hateful and profane language has become a critical challenge since many users in social networks are exposed to cyberbullying activities on a daily basis.

Word Embeddings

A Fair and Comprehensive Comparison of Multimodal Tweet Sentiment Analysis Methods

1 code implementation16 Jun 2021 Gullal S. Cheema, Sherzod Hakimov, Eric Müller-Budack, Ralph Ewerth

Opinion and sentiment analysis is a vital task to characterize subjective information in social media posts.

Sentiment Analysis

Unsupervised Video Summarization via Multi-source Features

1 code implementation26 May 2021 Hussain Kanafani, Junaid Ahmed Ghauri, Sherzod Hakimov, Ralph Ewerth

Our evaluation shows that we obtain state-of-the-art results on both datasets, while also highlighting the shortcomings of previous work with regard to the evaluation methodology.

Unsupervised Video Summarization

Supervised Video Summarization via Multiple Feature Sets with Parallel Attention

2 code implementations23 Apr 2021 Junaid Ahmed Ghauri, Sherzod Hakimov, Ralph Ewerth

The proposed architecture utilizes an attention mechanism before fusing motion features and features representing the (static) visual content, i. e., derived from an image classification model.

Automated Feature Engineering Multimodal Deep Learning +1

Ontology-driven Event Type Classification in Images

1 code implementation9 Nov 2020 Eric Müller-Budack, Matthias Springstein, Sherzod Hakimov, Kevin Mrutzek, Ralph Ewerth

Event classification can add valuable information for semantic search and the increasingly important topic of fact validation in news.

Classification General Classification +2

Classification of Important Segments in Educational Videos using Multimodal Features

1 code implementation26 Oct 2020 Junaid Ahmed Ghauri, Sherzod Hakimov, Ralph Ewerth

Our experiments investigate the impact of visual and temporal information, as well as the combination of multimodal features on importance prediction.

Classification General Classification

Check_square at CheckThat! 2020: Claim Detection in Social Media via Fusion of Transformer and Syntactic Features

1 code implementation21 Jul 2020 Gullal S. Cheema, Sherzod Hakimov, Ralph Ewerth

In this digital age of news consumption, a news reader has the ability to react, express and share opinions with others in a highly interactive and fast manner.

Fact Checking Retrieval +2

A Feature Analysis for Multimodal News Retrieval

no code implementations13 Jul 2020 Golsa Tahmasebzadeh, Sherzod Hakimov, Eric Müller-Budack, Ralph Ewerth

Content-based information retrieval is based on the information contained in documents rather than using metadata such as keywords.

Information Retrieval News Retrieval +2

Evaluating Architectural Choices for Deep Learning Approaches for Question Answering over Knowledge Bases

no code implementations6 Dec 2018 Sherzod Hakimov, Soufian Jebbara, Philipp Cimiano

We address the task of answering simple questions, consisting in predicting the subject and predicate of a triple given a question.

Question Answering

AMUSE: Multilingual Semantic Parsing for Question Answering over Linked Data

1 code implementation26 Feb 2018 Sherzod Hakimov, Soufian Jebbara, Philipp Cimiano

We present the first multilingual QALD pipeline that induces a model from training data for mapping a natural language question into logical form as probabilistic inference.

Knowledge Base Question Answering Machine Translation +1

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