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200 | Bees do not follow the same rules as airplanes. Bees fly using a different mechanism from airplanes. |
201 | Bees fly using a different mechanism from airplanes. Bees do not follow the same rules as airplanes. |
202 | Bees do not follow the same rules as airplanes. Bees fly using the same mechanism as airplanes. |
203 | Bees fly using the same mechanism as airplanes. Bees do not follow the same rules as airplanes. |
204 | Bees do not follow the same rules as airplanes. Bees are more energy-efficient flyers than airplanes. |
205 | Bees are more energy-efficient flyers than airplanes. Bees do not follow the same rules as airplanes. |
206 | Leslie Dixon is married to fellow screenwriter and producer Tom Ropelewski. Tom Ropelewski is married to fellow screenwriter and producer Leslie Dixon. |
207 | Tom Ropelewski is married to fellow screenwriter and producer Leslie Dixon. Leslie Dixon is married to fellow screenwriter and producer Tom Ropelewski. |
208 | This means that solving analogy questions with vector arithmetic is mathematically equivalent to seeking a word that is similar to x and y but is different from z. This means that seeking a word that is similar to x and y but is different from z is mathematically equivalent to solving analogy questions with vector arithmetic. |
209 | This means that seeking a word that is similar to x and y but is different from z is mathematically equivalent to solving analogy questions with vector arithmetic. This means that solving analogy questions with vector arithmetic is mathematically equivalent to seeking a word that is similar to x and y but is different from z. |
210 | Bob married Alice. Bob and Alice got married. |
211 | Bob and Alice got married. Bob married Alice. |
212 | Tulsi Gabbard disagrees with Bernie Sanders on what is the best way to deal with Bashar al-Assad. Tulsi Gabbard and Bernie Sanders disagree on what is the best way to deal with Bashar al-Assad. |
213 | Tulsi Gabbard and Bernie Sanders disagree on what is the best way to deal with Bashar al-Assad. Tulsi Gabbard disagrees with Bernie Sanders on what is the best way to deal with Bashar al-Assad. |
214 | It reminds me of the times I played Super Mario with my little brother. It reminds me of the times my little brother and I played Super Mario. |
215 | It reminds me of the times my little brother and I played Super Mario. It reminds me of the times I played Super Mario with my little brother. |
216 | In this PC game, Shredder fights the turtles in his Manhattan hideout. In this PC game, Shredder and the turtles fight in his Manhattan hideout. |
217 | In this PC game, Shredder and the turtles fight in his Manhattan hideout. In this PC game, Shredder fights the turtles in his Manhattan hideout. |
218 | If their vectors' cosine similarity is high, we can conclude that "cat" is similar to "dog". If their vectors' cosine similarity is high, we can conclude that "cat" and "dog" are similar. |
219 | If their vectors' cosine similarity is high, we can conclude that "cat" and "dog" are similar. If their vectors' cosine similarity is high, we can conclude that "cat" is similar to "dog". |
220 | Jane had a party on Sunday. On Sunday, Jane had a party. |
221 | On Sunday, Jane had a party. Jane had a party on Sunday. |
222 | For decades, the FBI has been trusted to investigate corruption inside the government. The FBI has been trusted to investigate corruption inside the government for decades. |
223 | The FBI has been trusted to investigate corruption inside the government for decades. For decades, the FBI has been trusted to investigate corruption inside the government. |
224 | I was driving through my neighborhood a few weeks ago, and there was a lady holding a child's hand, standing on the side of the road talking to someone parked in a car. A few weeks ago, I was driving through my neighborhood, and there was a lady holding a child's hand, standing on the side of the road talking to someone parked in a car. |
225 | A few weeks ago, I was driving through my neighborhood, and there was a lady holding a child's hand, standing on the side of the road talking to someone parked in a car. I was driving through my neighborhood a few weeks ago, and there was a lady holding a child's hand, standing on the side of the road talking to someone parked in a car. |
226 | Bass River timber was used in construction of the Empire State Building. In construction of the Empire State Building, Bass River timber was used. |
227 | In construction of the Empire State Building, Bass River timber was used. Bass River timber was used in construction of the Empire State Building. |
228 | In this paper, we present an approach to acquire trivial physical knowledge from unstructured natural language text. We present in this paper an approach to acquire trivial physical knowledge from unstructured natural language text. |
229 | We present in this paper an approach to acquire trivial physical knowledge from unstructured natural language text. In this paper, we present an approach to acquire trivial physical knowledge from unstructured natural language text. |
230 | In this paper, we present an approach to acquire trivial physical knowledge from unstructured natural language text. We present an approach to acquire trivial physical knowledge from the unstructured natural language text of this paper. |
231 | We present an approach to acquire trivial physical knowledge from the unstructured natural language text of this paper. In this paper, we present an approach to acquire trivial physical knowledge from unstructured natural language text. |
232 | I ate pizza with friends. I ate pizza. |
233 | I ate pizza. I ate pizza with friends. |
234 | I ate pizza with some friends. I ate some friends. |
235 | I ate some friends. I ate pizza with some friends. |
236 | I ate pizza with olives. I ate pizza. |
237 | I ate pizza. I ate pizza with olives. |
238 | I ate pizza with olives. I ate olives. |
239 | I ate olives. I ate pizza with olives. |
240 | Mueller received a mandate to investigate possible collusion with Russia. Mueller received a mandate to investigate possible collusion. |
241 | Mueller received a mandate to investigate possible collusion. Mueller received a mandate to investigate possible collusion with Russia. |
242 | Mueller received a mandate to investigate possible collusion with Russia. Mueller received a mandate to investigate with Russia. |
243 | Mueller received a mandate to investigate with Russia. Mueller received a mandate to investigate possible collusion with Russia. |
244 | Mueller received a mandate to investigate possible collusion with vast resources. Mueller received a mandate to investigate possible collusion. |
245 | Mueller received a mandate to investigate possible collusion. Mueller received a mandate to investigate possible collusion with vast resources. |
246 | Mueller received a mandate to investigate possible collusion with vast resources. Mueller received a mandate to investigate with vast resources. |
247 | Mueller received a mandate to investigate with vast resources. Mueller received a mandate to investigate possible collusion with vast resources. |
248 | They should be attached to the lifting mechanism in the faucet. They should be attached to the lifting mechanism. |
249 | They should be attached to the lifting mechanism. They should be attached to the lifting mechanism in the faucet. |
250 | They should be attached to the lifting mechanism in the faucet. They should be attached in the faucet. |
251 | They should be attached in the faucet. They should be attached to the lifting mechanism in the faucet. |
252 | They should be attached to the lifting mechanism in an unbreakable knot. They should be attached to the lifting mechanism. |
253 | They should be attached to the lifting mechanism. They should be attached to the lifting mechanism in an unbreakable knot. |
254 | They should be attached to the lifting mechanism in an unbreakable knot. They should be attached in an unbreakable knot. |
255 | They should be attached in an unbreakable knot. They should be attached to the lifting mechanism in an unbreakable knot. |
256 | Tanks were developed by Britain and France, and were first used in combat by the British during a battle with only partial success. Tanks were developed by Britain and France, and were first used with only partial success. |
257 | Tanks were developed by Britain and France, and were first used with only partial success. Tanks were developed by Britain and France, and were first used in combat by the British during a battle with only partial success. |
258 | Tanks were developed by Britain and France, and were first used in combat by the British during a battle with only partial success. Tanks were developed by Britain and France, and were first used in combat by the British during a battle. |
259 | Tanks were developed by Britain and France, and were first used in combat by the British during a battle. Tanks were developed by Britain and France, and were first used in combat by the British during a battle with only partial success. |
260 | Tanks were developed by Britain and France, and were first used in combat by the British during a battle with German forces. Tanks were developed by Britain and France, and were first used with German forces. |
261 | Tanks were developed by Britain and France, and were first used with German forces. Tanks were developed by Britain and France, and were first used in combat by the British during a battle with German forces. |
262 | Tanks were developed by Britain and France, and were first used in combat by the British during a battle with German forces. Tanks were developed by Britain and France, and were first used in combat by the British during a battle. |
263 | Tanks were developed by Britain and France, and were first used in combat by the British during a battle. Tanks were developed by Britain and France, and were first used in combat by the British during a battle with German forces. |
264 | We propose models of the probability distribution from which the attested vowel inventories have been drawn. We propose models of the probability distribution. |
265 | We propose models of the probability distribution. We propose models of the probability distribution from which the attested vowel inventories have been drawn. |
266 | We propose models of the probability distribution from which the attested vowel inventories have been drawn. We propose models from which the attested vowel inventories have been drawn. |
267 | We propose models from which the attested vowel inventories have been drawn. We propose models of the probability distribution from which the attested vowel inventories have been drawn. |
268 | We propose models of the probability distribution from a restricted space of linear functions. We propose models of the probability distribution. |
269 | We propose models of the probability distribution. We propose models of the probability distribution from a restricted space of linear functions. |
270 | We propose models of the probability distribution from a restricted space of linear functions. We propose models from a restricted space of linear functions. |
271 | We propose models from a restricted space of linear functions. We propose models of the probability distribution from a restricted space of linear functions. |
272 | George went to the lake to catch a fish, but he fell into the water. George fell into the water. |
273 | George fell into the water. George went to the lake to catch a fish, but he fell into the water. |
274 | George went to the lake to catch a fish, but he fell into the water. A fish fell into the water. |
275 | A fish fell into the water. George went to the lake to catch a fish, but he fell into the water. |
276 | The Republican party almost universally opposed that bill in 2009, which cost $787 billion over 10 years, on the grounds that it would increase the debt too much. That bill would increase the debt too much. |
277 | That bill would increase the debt too much. The Republican party almost universally opposed that bill in 2009, which cost $787 billion over 10 years, on the grounds that it would increase the debt too much. |
278 | The Republican party almost universally opposed that bill in 2009, which cost $787 billion over 10 years, on the grounds that it would increase the debt too much. The Republican party would increase the debt too much. |
279 | The Republican party would increase the debt too much. The Republican party almost universally opposed that bill in 2009, which cost $787 billion over 10 years, on the grounds that it would increase the debt too much. |
280 | The climbing beans choked the corn, and the squash grew so big that it overshadowed several adjacent rows of beans. The squash overshadowed several adjacent rows of beans. |
281 | The squash overshadowed several adjacent rows of beans. The climbing beans choked the corn, and the squash grew so big that it overshadowed several adjacent rows of beans. |
282 | The climbing beans choked the corn, and the squash grew so big that it overshadowed several adjacent rows of beans. The corn overshadowed several adjacent rows of beans. |
283 | The corn overshadowed several adjacent rows of beans. The climbing beans choked the corn, and the squash grew so big that it overshadowed several adjacent rows of beans. |
284 | Because Britain still maintained control of Canada's foreign affairs under the Confederation Act, its declaration of war in 1914 automatically brought Canada into World War I. Britain's declaration of war in 1914 automatically brought Canada into World War I. |
285 | Britain's declaration of war in 1914 automatically brought Canada into World War I. Because Britain still maintained control of Canada's foreign affairs under the Confederation Act, its declaration of war in 1914 automatically brought Canada into World War I. |
286 | Because Britain still maintained control of Canada's foreign affairs under the Confederation Act, its declaration of war in 1914 automatically brought Canada into World War I. Canada's declaration of war in 1914 automatically brought Canada into World War I. |
287 | Canada's declaration of war in 1914 automatically brought Canada into World War I. Because Britain still maintained control of Canada's foreign affairs under the Confederation Act, its declaration of war in 1914 automatically brought Canada into World War I. |
288 | We show that if coreference resolvers mainly rely on lexical features, they can hardly generalize to unseen domains. Coreference resolvers can hardly generalize to unseen domains. |
289 | Coreference resolvers can hardly generalize to unseen domains. We show that if coreference resolvers mainly rely on lexical features, they can hardly generalize to unseen domains. |
290 | We show that if coreference resolvers mainly rely on lexical features, they can hardly generalize to unseen domains. Lexical features can hardly generalize to unseen domains. |
291 | Lexical features can hardly generalize to unseen domains. We show that if coreference resolvers mainly rely on lexical features, they can hardly generalize to unseen domains. |
292 | The sides came to an agreement after their meeting in Stockholm. The sides came to an agreement after their meeting in Sweden. |
293 | The sides came to an agreement after their meeting in Sweden. The sides came to an agreement after their meeting in Stockholm. |
294 | The sides came to an agreement after their meeting in Stockholm. The sides came to an agreement after their meeting in Europe. |
295 | The sides came to an agreement after their meeting in Europe. The sides came to an agreement after their meeting in Stockholm. |
296 | The sides came to an agreement after their meeting in Stockholm. The sides came to an agreement after their meeting in Oslo. |
297 | The sides came to an agreement after their meeting in Oslo. The sides came to an agreement after their meeting in Stockholm. |
298 | Musk decided to offer up his personal Tesla roadster. Musk decided to offer up his personal car. |
299 | Musk decided to offer up his personal car. Musk decided to offer up his personal Tesla roadster. |