asdc / Qwen2.5-7B-Temporal_Relation_Extraction

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Total runs: 5
24-hour runs: 0
7-day runs: -1
30-day runs: 2
Model's Last Updated: May 11 2025

Introduction of Qwen2.5-7B-Temporal_Relation_Extraction

Model Details of Qwen2.5-7B-Temporal_Relation_Extraction

Model Card for Model ID

  • This model has been trained for solving the temporal relation extraction task using RL over the E3C corpus as part of the paper "".
Model Details
Model Description
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Uses

The model is intended to predict the temporal relation between two entities in multiple languages. The model is trained to work on Spanish, English, French, Italian and Basque but it can be used in other languages.

Downstream Use
  • For using the model use the following template:
## Instruction ##
- Extract the start point, end point, and span for the given source and target terms.
- Classify the relation between them using one of: BEFORE, BEGINS-ON, ENDS-ON, CONTAINS, SIMULTANEOUS, OVERLAP.
- Answer with the XML Response Format

## Definitions ##
- A term has a start point (time it begins to exist), an end point (time it ceases to exist), and a span (time between both).

## Inputs ##
- **Context Sentence:** *"{}"* 
- **Source term:** *"{}"*  
- **Target term:** *"{}"*  

## XML Response Format ##
<Source>
    <Meaning>Explain the meaning of the source term</Meaning>
    <Start>Reason about the temporal start point</Start>
    <End>Reason about the temporal end point</End>
    <Span>Reason about the temporal span</Span>
</Source>
<Target>
    <Meaning>Explain the meaning of the target term</Meaning>
    <Start>Reason about the temporal start point</Start>
    <End>Reason about the temporal end point</End>
    <Span>Reason about the temporal span</Span>
</Target>
<Relation>
    <Start_Start>
        <Reason>Reason about the relation of the start and start points</Reason>
        <Answer>before/after/equal/different</Answer>
    </Start_Start>
    <Start_End>
        <Reason>Reason about the relation of the start and end points</Reason>
        <Answer>before/after/equal/different</Answer>
    </Start_End>
    <End_Start>
        <Reason>Reason about the relation of the end and start points</Reason>
        <Answer>before/after/equal/different</Answer>
    </End_Start>
    <End_End>
        <Reason>Reason about the relation of the end and end points</Reason>
        <Answer>before/after/equal/different</Answer>
    </End_End>
    <Label>BEFORE/BEGINS-ON/ENDS-ON/CONTAINS/SIMULTANEOUS/OVERLAP</Label>
</Relation>

<think>\n
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Framework versions
  • PEFT 0.15.0

Runs of asdc Qwen2.5-7B-Temporal_Relation_Extraction on huggingface.co

5
Total runs
0
24-hour runs
-2
3-day runs
-1
7-day runs
2
30-day runs

More Information About Qwen2.5-7B-Temporal_Relation_Extraction huggingface.co Model

Qwen2.5-7B-Temporal_Relation_Extraction huggingface.co

Qwen2.5-7B-Temporal_Relation_Extraction huggingface.co is an AI model on huggingface.co that provides Qwen2.5-7B-Temporal_Relation_Extraction's model effect (), which can be used instantly with this asdc Qwen2.5-7B-Temporal_Relation_Extraction model. huggingface.co supports a free trial of the Qwen2.5-7B-Temporal_Relation_Extraction model, and also provides paid use of the Qwen2.5-7B-Temporal_Relation_Extraction. Support call Qwen2.5-7B-Temporal_Relation_Extraction model through api, including Node.js, Python, http.

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https://huggingface.co/asdc/Qwen2.5-7B-Temporal_Relation_Extraction

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Qwen2.5-7B-Temporal_Relation_Extraction install

Qwen2.5-7B-Temporal_Relation_Extraction is an open source model from GitHub that offers a free installation service, and any user can find Qwen2.5-7B-Temporal_Relation_Extraction on GitHub to install. At the same time, huggingface.co provides the effect of Qwen2.5-7B-Temporal_Relation_Extraction install, users can directly use Qwen2.5-7B-Temporal_Relation_Extraction installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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Updated:June 29 2023