Papers by Siegfried Handschuh
Building a Knowledge Graph from Natural Language Definitions for Interpretable Text Entailment Recognition (L18-1)
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| Challenge: | a conceptual model for dictionary definitions is used to construct a knowledge graph from natural language definitions. |
| Approach: | They propose a method for automatically building a graph world knowledge base from natural language definitions. |
| Outcome: | The proposed method was used in an interpretable text entailment recognition approach. |
Graphene: a Context-Preserving Open Information Extraction System (C18-2)
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| Challenge: | Graphene is an open IE system that generates accurate, meaningful and complete propositions . current systems tend to extract propositions with long argument phrases that can be further decomposed into meaningful propositions, with each of them representing a separate fact. |
| Approach: | They propose a lightweight Open IE system that generates accurate, meaningful propositions . they identify the rhetorical relations that hold between them to maintain their semantic relationship . |
| Outcome: | The proposed system generates propositions that are accurate, meaningful and complete . it preserves the context of the relational tuples extracted from the source sentence . |
Supporting Cognitive and Emotional Empathic Writing of Students (2021.acl-long)
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| Challenge: | Empathy skills are an elementary skill in society for daily interaction and professional communication and are therefore elementary for educational curricula. |
| Approach: | They propose an annotation approach to capture emotional and cognitive empathy in student-written peer reviews on business models in germany. |
| Outcome: | The proposed annotation scheme guides annotators to a substantial to moderate agreement with the model and shows that it is effective. |
Transforming Complex Sentences into a Semantic Hierarchy (P19-1)
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| Challenge: | Existing approaches for recursively splitting and rephrasing complex English sentences into a semantic hierarchy of simplified sentences are lacking. |
| Approach: | They propose a method for recursively splitting and rephrasing complex English sentences into a semantic hierarchy of simplified sentences. |
| Outcome: | The proposed approach outperforms state-of-the-art approaches in MT and information extraction tasks. |
A Multilingual Test Collection for the Semantic Search of Entity Categories (L18-1)
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Juliano Efson Sales, Siamak Barzegar, Wellington Franco, Bernhard Bermeitinger, Tiago Cunha, Brian Davis, André Freitas, Siegfried Handschuh
| Challenge: | Despite the high popularity of entity search, entity categories have not received equal attention. |
| Approach: | They propose to make public a multilingual test collection comprehending English, Portuguese and German to meet the demands of the entity search community. |
| Outcome: | The proposed test collection comprehends English, Portuguese and German and provides comparative baselines and an analysis of the results. |
When Truth Matters - Addressing Pragmatic Categories in Natural Language Inference (NLI) by Large Language Models (LLMs) (2023.starsem-1)
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| Challenge: | In this paper, we examine the ability of large language models (LLMs) to accommodate different pragmatic sentence types, such as questions, commands, and sentence fragments for natural language inference (NLI). |
| Approach: | They propose to fine-tune large language models to accommodate different sentence types for natural language inference (NLI) they also explore ChatGPT's concept of entailment by using a symbolic semantic parser. |
| Outcome: | The proposed models can accommodate different sentence types without losing too much accuracy on MNLI-matched models. |
SemR-11: A Multi-Lingual Gold-Standard for Semantic Similarity and Relatedness for Eleven Languages (L18-1)
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| Challenge: | SemR-11 is a multi-lingual dataset for evaluating semantic similarity and relatedness for 11 languages. |
| Approach: | This paper describes a multi-lingual dataset for evaluating semantic similarity and relatedness for 11 languages. |
| Outcome: | The dataset is a multi-lingual dataset for evaluating semantic similarity and relatedness for 11 languages. |
A Corpus for Argumentative Writing Support in German (2020.coling-main)
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| Challenge: | In today's world most information is readily available. Consequently, the sole reproduction of information is losing attention. |
| Approach: | They propose an annotation approach to capture claims and premises of arguments and their relations in student-written peer reviews on business models in german language. |
| Outcome: | The proposed annotation scheme guides annotators to moderate agreement with the proposed scheme on 50 persuasive student-written peer reviews on business models. |
Indra: A Word Embedding and Semantic Relatedness Server (L18-1)
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Juliano Efson Sales, Leonardo Souza, Siamak Barzegar, Brian Davis, André Freitas, Siegfried Handschuh
| Challenge: | Word embedding/distributional semantic models are a fundamental component in many natural language processing (NLP) architectures. |
| Approach: | They propose a multi-lingual word embedding/distributional semantics framework which supports creation, use and evaluation of word embedded models. |
| Outcome: | The proposed tool supports the creation, use and evaluation of word embedding models. |
A Survey on Open Information Extraction (C18-1)
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| Challenge: | Existing approaches to open information extraction (Open IE) focus on narrow, well-defined requests over a predefined set of target relations on small, homogeneous corpora. |
| Approach: | They propose to use unsupervised methods to extract all types of relations found in text . they propose to implement a system that can be automated to detect possible relations . |
| Outcome: | The proposed approaches have been compared with existing methods and are based on the results of a literature review. |
Context Matters: A Pragmatic Study of PLMs’ Negation Understanding (2022.acl-long)
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| Challenge: | In linguistics, there are two main perspectives on negation: a semantic and a pragmatic view. |
| Approach: | They propose to use transformer-based pre-trained language models to study negation understanding using a pragmatic paradigm. |
| Outcome: | The proposed transformer-based model outperforms the human benchmark at NLU and GLUE, and the results are much more optimistic than previous studies. |
Graphene: Semantically-Linked Propositions in Open Information Extraction (C18-1)
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| Challenge: | Existing Open IE systems focus on identifying and extracting relations of interest, but this manual labor scales linearly with the number of target relations. |
| Approach: | They propose an Open Information Extraction approach that uses a two-layered transformation stage and rhetorical relation identification to transform sentences into syntactically sound sentences. |
| Outcome: | The proposed approach outperforms state-of-the-art Open IE systems in the construction of correct n-ary predicate-argument structures. |