8 citations · 12 across the 8 of their papers we have counts for
8 papers
ThinkProbe: Beyond Accuracy -- Structural Profiling of Open-Ended LLM Reasoning Traces via Non-Generative Thought Graphs
Mohamed Amine Kerkouri, Simon D. Hernandez, Marouane Tliba +3
We present ThinkProbe, a framework for structural analysis of LLM reasoning traces. ThinkProbe converts each trace into a Thought Graph a directed graph with cycles, 8 node types,…
EnriCo: Enriched Representation and Globally Constrained Inference for Entity and Relation Extraction
Urchade Zaratiana, Nadi Tomeh, Yann Dauxais +2
Joint entity and relation extraction plays a pivotal role in various applications, notably in the construction of knowledge graphs. Despite recent progress, existing approaches oft…
GraphER: A Structure-aware Text-to-Graph Model for Entity and Relation Extraction
Urchade Zaratiana, Nadi Tomeh, Niama El Khbir +2
Information extraction (IE) is an important task in Natural Language Processing (NLP), involving the extraction of named entities and their relationships from unstructured text. In…
An Autoregressive Text-to-Graph Framework for Joint Entity and Relation Extraction
Urchade Zaratiana, Nadi Tomeh, Pierre Holat +1
In this paper, we propose a novel method for joint entity and relation extraction from unstructured text by framing it as a conditional sequence generation problem. In contrast to…
Filtered Semi-Markov CRF
Urchade Zaratiana, Nadi Tomeh, Niama El Khbir +2
Semi-Markov CRF has been proposed as an alternative to the traditional Linear Chain CRF for text segmentation tasks such as Named Entity Recognition (NER). Unlike CRF, which treats…
GLiNER: Generalist Model for Named Entity Recognition using Bidirectional Transformer
Urchade Zaratiana, Nadi Tomeh, Pierre Holat +1
Named Entity Recognition (NER) is essential in various Natural Language Processing (NLP) applications. Traditional NER models are effective but limited to a set of predefined entit…
DyREx: Dynamic Query Representation for Extractive Question Answering
Urchade Zaratiana, Niama El Khbir, Dennis Núñez +3
Extractive question answering (ExQA) is an essential task for Natural Language Processing. The dominant approach to ExQA is one that represents the input sequence tokens (question…
Hierarchical Transformer Model for Scientific Named Entity Recognition
Urchade Zaratiana, Pierre Holat, Nadi Tomeh +1
The task of Named Entity Recognition (NER) is an important component of many natural language processing systems, such as relation extraction and knowledge graph construction. In t…