Browse State-of-the-Art › slot-filling
slot-filling
117 papers with code · 0 benchmarks · 2 datasets archive 2025-07-28
Benchmarks archive 2025-07-28
No benchmark for this task in the archive.
Libraries
Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.
Datasets archive 2025-07-28
2 datasets whose archive record lists this task, ordered by the archive's paper count.
Subtasks archive 2025-07-28
No subtask under this task in the archive's task tree.
Most implemented papers archive 2025-07-28
30 shown of 117 papers with code (359 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.
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1 Mar 2023 2 repositories listedTo evaluate the effectiveness of our benchmark, we employ state-of-the-art methods for intent detection and slot filling.
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29 Sep 2021 2 repositories listedThis is in line with the common understanding of how multilingual models conduct transferring between languages
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17 Sep 2021 2 repositories listedIn this work we present a slot filling approach to the task of biomedical IE, effectively replacing the need for entity and relation-specific training data, allowing us to deal with zero-shot settings.
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31 Aug 2021 2 repositories listed Syntology ran 1 of 8 samples · 7 unverifiedAutomatically inducing high quality knowledge graphs from a given collection of documents still remains a challenging problem in AI.
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17 Apr 2021 2 repositories listedRecently, there has been a promising direction in evaluating language models in the same way we would evaluate knowledge bases, and the task of slot filling is the most suitable to this intent.
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3 Jun 2020 2 repositories listedIn this paper, we present a manually annotated corpus of 10, 000 tweets containing public reports of five COVID-19 events, including positive and negative tests, deaths, denied access to testing, claimed cures and…
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16 Sep 2019 2 repositories listedSpoken Language Understanding (SLU) mainly involves two tasks, intent detection and slot filling, which are generally modeled jointly in existing works.
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5 Sep 2019 2 repositories listedIn our framework, we adopt a joint model with Stack-Propagation which can directly use the intent information as input for slot filling, thus to capture the intent semantic knowledge.
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30 Jun 2019 2 repositories listedThe joint model for the two tasks is becoming a tendency in SLU.
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1 Jun 2018 2 repositories listedAttention-based recurrent neural network models for joint intent detection and slot filling have achieved the state-of-the-art performance, while they have independent attention weights.
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1 Sep 2017 2 repositories listedThe combination of better supervised data and a more appropriate high-capacity model enables much better relation extraction performance.
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13 Jun 2017 2 repositories listedWe show that relation extraction can be reduced to answering simple reading comprehension questions, by associating one or more natural-language questions with each relation slot.
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20 Feb 2025 1 repository listed Syntology ran 2 of 2 samples · 0 unverified · 2 pointer-only (licence)While large language models demonstrate remarkable capabilities at task-specific applications through fine-tuning, extending these benefits across diverse languages is essential for broad accessibility.
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7 Jan 2025 1 repository listedReliable slot and intent detection (SID) is crucial in natural language understanding for applications like digital assistants.
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15 Aug 2024 1 repository listedThis paper introduces a novel approach, MIDAS, leveraging a multi-level intent, domain, and slot knowledge distillation for multi-turn NLU.
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7 Aug 2024 1 repository listedWe present Speech-MASSIVE, a multilingual Spoken Language Understanding (SLU) dataset comprising the speech counterpart for a portion of the MASSIVE textual corpus.
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31 Jul 2024 1 repository listedTask-oriented dialogue (TOD) systems aim to efficiently handle task-oriented conversations, including information collection.
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23 Apr 2024 1 repository listedIn our experiments, using graph-guided response simulations leads to significant improvements in intent classification, slot filling and response relevance compared to naive single-prompt simulated conversations.
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28 Mar 2024 1 repository listedA combination ofmultiple datasets, including the MEDIA dataset, was suggested for training this joint model.
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26 Mar 2024 1 repository listedState-of-the-art intent classification (IC) and slot filling (SF) methods often rely on data-intensive deep learning models, limiting their practicality for industry applications.
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Uni-MIS: United Multiple Intent Spoken Language Understanding via Multi-View Intent-Slot Interaction24 Mar 2024 1 repository listedIn this work, we present a novel architecture by modeling the multi-intent SLU as a multi-view intent-slot interaction.
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28 Feb 2024 1 repository listed Syntology ran 5 of 9 samples · 4 unverified · 9 pointer-only (licence)Retrieval-augmented generation (RAG) enhances large language models (LLMs) by incorporating additional information from retrieval.
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23 Feb 2024 1 repository listed Syntology ran 5 of 7 samples · 2 unverifiedThere is a growing need for Large Language Models (LLMs) to effectively use tools and external Application Programming Interfaces (APIs) to plan and complete tasks.
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3 Feb 2024 1 repository listedInspired by prior work on English varieties, we craft and manually evaluate perturbation rules that transform German sentences into colloquial forms and use them to synthesize test sets in four ToD datasets.
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14 Dec 2023 1 repository listedJPIS incorporates the supporting profile information into its encoder and introduces a slot-to-intent attention mechanism to transfer slot information representations to intent detection.
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10 Dec 2023 1 repository listedThe research study of detecting multiple intents and filling slots is becoming more popular because of its relevance to complicated real-world situations.
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3 Nov 2023 1 repository listedWhile current tasks of converting natural language to SQL (NL2SQL) using Foundation Models have shown impressive achievements, adapting these approaches for converting natural language to Graph Query Language (NL2GQL)…
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23 Oct 2023 1 repository listedIn practice, these dominant pipeline models may be limited in computational efficiency and generalization capacity because of non-parallel inference and context-free discrete label embeddings.
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20 Oct 2023 1 repository listedHearing is arguably an essential ability of artificial intelligence (AI) agents in the physical world, which refers to the perception and understanding of general auditory information consisting of at least three types…
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17 Oct 2023 1 repository listedAs voice assistants cement their place in our technologically advanced society, there remains a need to cater to the diverse linguistic landscape, including colloquial forms of low-resource languages.
Syntology lines on 4 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.
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