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新闻 | ||
---- | ||
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语言技术平台3.3.1版 发布 | ||
* [修复] 修复了3.3.0版本模型加载的bug | ||
* [增加] 提供 Windows 下的`ltp_test`和`xxx_cmdline`二进制下载,无需再手工编译 | ||
语言技术平台 3.3.2 版发布 | ||
* [修复] 修复了 3.3.1 版本的一些 bug | ||
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语言技术平台3.3.0版 发布 | ||
语言技术平台 3.3.1 版发布 | ||
* [修复] 修复了 3.3.0 版本模型加载的 bug | ||
* [增加] 提供 Windows 下的 `ltp_test` 和 `xxx_cmdline` 二进制下载,无需再手工编译 | ||
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语言技术平台 3.3.0 版发布 | ||
* [增加] 词性标注模型加入微博数据,使得在开放域上的词性标注性能更好(+3.3 precision) | ||
* [增加] 依存句法分析模型加入微博数据,使得在开放域上的句法分析性能更好(+3 UAS) | ||
* [增加] 依存句法分析算法切换到transition-based neural network parser,速度从40 tokens/s提升到8000 tokens/s。同时通过加入聚类特征以及优化训练算法,(在新闻领域)准确率也得到小幅提升(+0.2 UAS) | ||
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* [百度云](http://pan.baidu.com/share/link?shareid=1988562907&uk=2738088569) | ||
* 当前模型版本3.3.1 | ||
* 当前模型版本 3.3.1 | ||
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开源协议 | ||
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@@ -49,6 +52,6 @@ | |
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2. 除上述机构以外的企事业单位,如申请使用该平台,需付费。 | ||
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3. 凡涉及付费问题,请发邮件到car@ir.hit.edu.cn洽商。 | ||
3. 凡涉及付费问题,请发邮件到 car@ir.hit.edu.cn 洽商。 | ||
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4. 如果您在LTP基础上发表论文或取得科研成果,请您在发表论文和申报成果时声明“使用了哈工大社会计算与信息检索研究中心研制的语言技术平台(LTP)”,参考文献中加入以下论文: Wanxiang Che, Zhenghua Li, Ting Liu. LTP: A Chinese Language Technology Platform. In Proceedings of the Coling 2010:Demonstrations. 2010.08, pp13-16, Beijing, China. 同时,发信给[email protected],说明发表论文或申报成果的题目、出处等。 | ||
4. 如果您在 LTP 基础上发表论文或取得科研成果,请您在发表论文和申报成果时声明“使用了哈工大社会计算与信息检索研究中心研制的语言技术平台(LTP)”,参考文献中加入以下论文: Wanxiang Che, Zhenghua Li, Ting Liu. LTP: A Chinese Language Technology Platform. In Proceedings of the Coling 2010:Demonstrations. 2010.08, pp13-16, Beijing, China. 同时,发信给[email protected],说明发表论文或申报成果的题目、出处等。 |
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Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -1,17 +1,21 @@ | ||
新闻 | ||
===== | ||
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||
语言技术平台3.3.1版 发布 | ||
语言技术平台 3.3.2 版发布 | ||
|
||
* [修复] 修复了3.3.0版本模型加载的bug | ||
* [增加] 提供 Windows 下的`ltp_test`和`xxx_cmdline`二进制下载,无需再手工编译 | ||
* [修复] 修复了 3.3.1 版本一些 bug | ||
|
||
语言技术平台3.3.0版 发布 | ||
语言技术平台 3.3.1 版发布 | ||
|
||
* [修复] 修复了 3.3.0 版本模型加载的 bug | ||
* [增加] 提供 Windows 下的 `ltp_test` 和 `xxx_cmdline` 二进制下载,无需再手工编译 | ||
|
||
语言技术平台 3.3.0 版发布 | ||
|
||
* [增加] 词性标注模型加入微博数据,使得在开放域上的词性标注性能更好(+3.3 precision) | ||
* [增加] 依存句法分析模型加入微博数据,使得在开放域上的句法分析性能更好(+3 UAS) | ||
* [增加] 依存句法分析算法切换到transition-based neural network parser,速度从40 tokens/s提升到8000 tokens/s。同时通过加入聚类特征以及优化训练算法,(在新闻领域)准确率也得到小幅提升(+0.2 UAS) | ||
* [增加] `ltp_test`默认支持多线程,线程数可配置。 | ||
* [增加] 依存句法分析算法切换到 transition-based neural network parser,速度从 40 tokens/s 提升到 8000 tokens/s。同时通过加入聚类特征以及优化训练算法,(在新闻领域)准确率也得到小幅提升(+0.2 UAS) | ||
* [增加] `ltp_test` 默认支持多线程,线程数可配置。 | ||
* [增加] 新加入子模块命令行程序,`cws_cmdline`,`pos_cmdline`,`par_cmdline`,`ner_cmdline`,使用户可以很容易替换中间模块,从而实现语言分析的组合。 | ||
* [修改] 优化了训练套件的交互方式 | ||
* [增加] 添加模型验证,单元测试模块。 |
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