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09/14/2023
DBLPLink: An Entity Linker for the DBLP Scholarly Knowledge Graph
In this work, we present a web application named DBLPLink, which perform...
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05/24/2023
The Role of Output Vocabulary in T2T LMs for SPARQL Semantic Parsing
In this work, we analyse the role of output vocabulary for text-to-text ...
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03/23/2023
DBLP-QuAD: A Question Answering Dataset over the DBLP Scholarly Knowledge Graph
In this work we create a question answering dataset over the DBLP schola...
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03/23/2023
GETT-QA: Graph Embedding based T2T Transformer for Knowledge Graph Question Answering
In this work, we present an end-to-end Knowledge Graph Question Answerin...
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01/28/2023
A system for Human-AI collaboration for Online Customer Support
AI enabled chat bots have recently been put to use to answer customer se...
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01/25/2023
ARDIAS: AI-Enhanced Research Management, Discovery, and Advisory System
In this work, we present ARDIAS, a web-based application that aims to pr...
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04/27/2022
Modern Baselines for SPARQL Semantic Parsing
In this work, we focus on the task of generating SPARQL queries from nat...
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03/18/2022
SCoT: Sense Clustering over Time: a tool for the analysis of lexical change
We present Sense Clustering over Time (SCoT), a novel network-based tool...
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02/02/2022
Language Models Explain Word Reading Times Better Than Empirical Predictability
Though there is a strong consensus that word length and frequency are th...
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08/19/2021
How Hateful are Movies? A Study and Prediction on Movie Subtitles
In this research, we investigate techniques to detect hate speech in mov...
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12/18/2020
HateXplain: A Benchmark Dataset for Explainable Hate Speech Detection
Hate speech is a challenging issue plaguing the online social media. Whi...
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12/08/2020
Social Media Unrest Prediction during the COVID-19 Pandemic: Neural Implicit Motive Pattern Recognition as Psychometric Signs of Severe Crises
The COVID-19 pandemic has caused international social tension and unrest...
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11/02/2020
Introducing various Semantic Models for Amharic: Experimentation and Evaluation with multiple Tasks and Datasets
The availability of different pre-trained semantic models enabled the qu...
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10/20/2020
Individual corpora predict fast memory retrieval during reading
The corpus, from which a predictive language model is trained, can be co...
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05/31/2020
Neural Entity Linking: A Survey of Models based on Deep Learning
In this survey, we provide a comprehensive description of recent neural ...
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05/29/2020
Improving Unsupervised Sparsespeech Acoustic Models with Categorical Reparameterization
The Sparsespeech model is an unsupervised acoustic model that can genera...
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04/23/2020
UHH-LT LT2 at SemEval-2020 Task 12: Fine-Tuning of Pre-Trained Transformer Networks for Offensive Language Detection
Fine-tuning of pre-trained transformer networks such as BERT yield state...
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03/14/2020
Word Sense Disambiguation for 158 Languages using Word Embeddings Only
Disambiguation of word senses in context is easy for humans, but is a ma...
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03/05/2020
Automatic Compilation of Resources for Academic Writing and Evaluating with Informal Word Identification and Paraphrasing System
We present the first approach to automatically building resources for ac...
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12/09/2019
Analysis of the Ethiopic Twitter Dataset for Abusive Speech in Amharic
In this paper, we present an analysis of the first Ethiopic Twitter Data...
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09/23/2019
Does BERT Make Any Sense? Interpretable Word Sense Disambiguation with Contextualized Embeddings
Contextualized word embeddings (CWE) such as provided by ELMo (Peters et...
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06/17/2019
Making Fast Graph-based Algorithms with Graph Metric Embeddings
The computation of distance measures between nodes in graphs is ineffici...
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06/12/2019
Adversarial Learning of Privacy-Preserving Text Representations for De-Identification of Medical Records
De-identification is the task of detecting protected health information ...
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06/07/2019
On the Compositionality Prediction of Noun Phrases using Poincaré Embeddings
The compositionality degree of multiword expressions indicates to what e...
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06/05/2019
Every child should have parents: a taxonomy refinement algorithm based on hyperbolic term embeddings
We introduce the use of Poincaré embeddings to improve existing state-of...
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05/05/2019
HHMM at SemEval-2019 Task 2: Unsupervised Frame Induction using Contextualized Word Embeddings
We present our system for semantic frame induction that showed the best ...
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01/15/2019
Answering Comparative Questions: Better than Ten-Blue-Links?
We present CAM (comparative argumentative machine), a novel open-domain ...
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11/07/2018
Transfer Learning from LDA to BiLSTM-CNN for Offensive Language Detection in Twitter
We investigate different strategies for automatic offensive language cla...
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11/07/2018
microNER: A Micro-Service for German Named Entity Recognition based on BiLSTM-CRF
For named entity recognition (NER), bidirectional recurrent neural netwo...
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09/17/2018
Unsupervised Sense-Aware Hypernymy Extraction
In this paper, we show how unsupervised sense representations can be use...
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09/17/2018
Categorization of Comparative Sentences for Argument Mining
We present the first work on domain-independent comparative argument min...
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09/01/2018
A Multilingual Information Extraction Pipeline for Investigative Journalism
We introduce an advanced information extraction pipeline to automaticall...
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08/21/2018
Demonstrating PAR4SEM - A Semantic Writing Aid with Adaptive Paraphrasing
In this paper, we present Par4Sem, a semantic writing aid tool based on ...
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08/20/2018
Local-Global Graph Clustering with Applications in Sense and Frame Induction
We present Watset, a new meta-algorithm for fuzzy graph clustering. This...
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08/16/2018
Learning Graph Embeddings from WordNet-based Similarity Measures
We present a new approach for learning graph embeddings, that relies on ...
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07/13/2018
New/s/leak 2.0 - Multilingual Information Extraction and Visualization for Investigative Journalism
Investigative journalism in recent years is confronted with two major ch...
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06/21/2018
Par4Sim -- Adaptive Paraphrasing for Text Simplification
Learning from a real-world data stream and continuously updating the mod...
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05/12/2018
Unsupervised Semantic Frame Induction using Triclustering
We use dependency triples automatically extracted from a Web-scale corpu...
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04/30/2018
BomJi at SemEval-2018 Task 10: Combining Vector-, Pattern- and Graph-based Information to Identify Discriminative Attributes
This paper describes BomJi, a supervised system for capturing discrimina...
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04/27/2018
An Unsupervised Word Sense Disambiguation System for Under-Resourced Languages
In this paper, we present Watasense, an unsupervised system for word sen...
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04/24/2018
A Report on the Complex Word Identification Shared Task 2018
We report the findings of the second Complex Word Identification (CWI) s...
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04/18/2018
Unspeech: Unsupervised Speech Context Embeddings
We introduce "Unspeech" embeddings, which are based on unsupervised lear...
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03/15/2018
Enriching Frame Representations with Distributionally Induced Senses
We introduce a new lexical resource that enriches the Framester knowledg...
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12/28/2017
What do we need to build explainable AI systems for the medical domain?
Artificial intelligence (AI) generally and machine learning (ML) specifi...
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12/23/2017
A Framework for Enriching Lexical Semantic Resources with Distributional Semantics
We present an approach to combining distributional semantic representati...
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11/08/2017
Improving Hypernymy Extraction with Distributional Semantic Classes
In this paper, we show for the first time how distributionally-induced s...
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10/04/2017
Building a Web-Scale Dependency-Parsed Corpus from CommonCrawl
We present DepCC, the largest to date linguistically analyzed corpus in ...
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08/31/2017
Human and Machine Judgements for Russian Semantic Relatedness
Semantic relatedness of terms represents similarity of meaning by a nume...
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08/30/2017
Fighting with the Sparsity of Synonymy Dictionaries
Graph-based synset induction methods, such as MaxMax and Watset, induce ...
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08/10/2017
